A vibration cavitation sensitivity parameter based on spectral and statistical methods

•Octave band analysis and PCA used on RMS velocity to obtain key indicators.•Mahalanobis distance is used to set thresholds since data is normally distributed.•Pump health separated into no cavitation, incipient, and fully formed condition.•Method works on a range of types and sizes of centrifugal p...

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Published inExpert systems with applications Vol. 42; no. 1; pp. 67 - 78
Main Authors McKee, Kristoffer K., Forbes, Gareth L., Mazhar, Ilyas, Entwistle, Rodney, Hodkiewicz, Melinda, Howard, Ian
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Ltd 01.01.2015
Elsevier
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Abstract •Octave band analysis and PCA used on RMS velocity to obtain key indicators.•Mahalanobis distance is used to set thresholds since data is normally distributed.•Pump health separated into no cavitation, incipient, and fully formed condition.•Method works on a range of types and sizes of centrifugal pumps. Cavitation is one of the main problems reducing the longevity of centrifugal pumps in industry today. If the pump operation is unable to maintain operating conditions around the best efficiency point, it can be subject to conditions that may lead to vaporisation or flashing in the pipes upstream of the pump. The implosion of these vapour bubbles in the impeller or volute causes damaging effects to the pump. A new method of vibration cavitation detection is proposed in this paper, based on adaptive octave band analysis, principal component analysis and statistical metrics. Full scale industrial pump efficiency testing data was used to determine the initial cavitation parameters for the analysis. The method was then tested using vibration measured from a number of industry pumps used in the water industry. Results were compared to knowledge known about the state of the pump, and the classification of the pump according to ISO 10816.
AbstractList Cavitation is one of the main problems reducing the longevity of centrifugal pumps in industry today. If the pump operation is unable to maintain operating conditions around the best efficiency point, it can be subject to conditions that may lead to vaporisation or flashing in the pipes upstream of the pump. The implosion of these vapour bubbles in the impeller or volute causes damaging effects to the pump. A new method of vibration cavitation detection is proposed in this paper, based on adaptive octave band analysis, principal component analysis and statistical metrics. Full scale industrial pump efficiency testing data was used to determine the initial cavitation parameters for the analysis. The method was then tested using vibration measured from a number of industry pumps used in the water industry. Results were compared to knowledge known about the state of the pump, and the classification of the pump according to ISO 10816.
•Octave band analysis and PCA used on RMS velocity to obtain key indicators.•Mahalanobis distance is used to set thresholds since data is normally distributed.•Pump health separated into no cavitation, incipient, and fully formed condition.•Method works on a range of types and sizes of centrifugal pumps. Cavitation is one of the main problems reducing the longevity of centrifugal pumps in industry today. If the pump operation is unable to maintain operating conditions around the best efficiency point, it can be subject to conditions that may lead to vaporisation or flashing in the pipes upstream of the pump. The implosion of these vapour bubbles in the impeller or volute causes damaging effects to the pump. A new method of vibration cavitation detection is proposed in this paper, based on adaptive octave band analysis, principal component analysis and statistical metrics. Full scale industrial pump efficiency testing data was used to determine the initial cavitation parameters for the analysis. The method was then tested using vibration measured from a number of industry pumps used in the water industry. Results were compared to knowledge known about the state of the pump, and the classification of the pump according to ISO 10816.
Author Entwistle, Rodney
McKee, Kristoffer K.
Mazhar, Ilyas
Howard, Ian
Hodkiewicz, Melinda
Forbes, Gareth L.
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  fullname: Entwistle, Rodney
  organization: Department of Mechanical Engineering, Curtin University, GPO Box U1987, Perth, WA 6845, Australia
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  surname: Howard
  fullname: Howard, Ian
  organization: Department of Mechanical Engineering, Curtin University, GPO Box U1987, Perth, WA 6845, Australia
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Cites_doi 10.1109/ICICISYS.2009.5357921
10.1007/BF02985143
10.1016/j.eswa.2010.12.122
10.1016/j.eswa.2006.12.010
10.1016/j.eswa.2010.10.063
10.1016/j.eswa.2009.10.002
10.1007/s11063-007-9041-1
10.1016/j.eswa.2009.10.040
10.1006/mssp.2002.1514
10.1155/S1023621X02000052
10.1016/j.eswa.2004.12.030
10.1109/KES.2000.884106
10.1002/wics.101
10.1016/S0169-7439(99)00047-7
10.1007/s11465-009-0084-z
10.1016/S0307-904X(98)10003-3
10.1109/TCST.2005.860524
10.1007/s00521-008-0192-4
10.1016/S0169-7439(02)00034-5
10.1016/j.ultsonch.2010.11.016
10.1016/j.ndteint.2004.10.002
10.1016/j.eswa.2011.01.041
10.1016/j.ymssp.2010.01.008
10.1016/j.measurement.2011.03.023
10.1108/13552519810223490
10.1016/j.apacoust.2008.07.005
10.1243/0954408971529737
10.1016/j.eswa.2009.06.018
10.1016/0169-7439(87)80084-9
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Issue 1
Keywords Centrifugal pumps
Octave band analysis
Vibration
Condition based monitoring
Cavitation
Principal component analysis
Modeling
Adaptive method
Turbine wheel
Bubble
Efficiency
Classification
ISO standard
Monitoring
Damaging
Implosion
Flash evaporation
Spectral method
Statistical analysis
Probabilistic approach
Octave
Durability
Pipe
Longevity
Experimental study
Operating conditions
Centrifugal pump
Piping
Language English
License CC BY 4.0
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References McKee, K. K., Forbes, G., Mazhar, I., Entwistle, R., & Howard, I. (2011). A review of major centrifugal pump failure modes with application to the water supply and sewerage industries. In
Hodkiewicz, M. (2012). Personal conversation on cavitation data. In Perth.
Sakthivel, Sugumaran, Babudevasenapati (b0180) 2010; 37
(pp. 29–38). George R. Brown Convention Center, Houston, TX, USA.
Yang, Lim, Tan (b0255) 2005; 28
Hofmann, Stoffel, Coutier-Delgosha, Fortes-Patella, Reboud (b0085) 2001
Blagrove (b0030) 2003
Cui, Li, Wang (b0055) 2008; 34
Rayner (b0170) 1995
Athavale, Li, Jiang, Singhal (b0020) 2002; 8
Rapposelli, Cervone, Angelo, d’Agostino (b0165) 2002
Sloteman, D. P. (2007). Cavitation in high energy pumps – Detection and assessment of damage potential. In
Cho, Hong, Ha (b0040) 2010; 37
Neil, Reuben, Sandford, Brown, Steel (b0150) 1997; 211
Wold, Esbensen, Geladi (b0250) 1987; 2
Klema, Flek, Kout, Novakova (b0115) 2005
Franz, Acosta, Brennen, Caughey (b0075) 1990; 112
Sunwater. (2012). Personal communications with staff at Sunwater. In Bundaberg.
Kallesoe, Cocquempot, Izadi-Zamanabadi (b0100) 2006; 14
Forsthoffer (b0070) 2011
Uchiyama (b0220) 1998; 22
.
Standardization, I. O. f. (1998). ISO 10816–3: Mechanical vibration – Evaluation of machine vibration by measurements on non-rotating parts. In
(Vol. 2, pp. 541–544).
Čudina, Prezelj (b0050) 2009; 70
Jolliffe (b0095) 2005
Kallesoe, Izaili-Zamanabadi, Rasmussen, Cocquempot (b0105) 2004; Vol. 2
Zouari, R., Sieg-Zieba, S., & Sidahmed, M. (2004). Fault detection system for centrifugal pumps using neural networks and neuro-fuzzy techniques. In
Abdi, Williams (b0005) 2010; 2
Cudina (b0045) 2003; 17
(Vol. 1, pp. 137–140).
Yedidiah (b0260) 1996
Wang, Su, Chen, Chen (b0245) 2011; 38
Kim, Rattakorn (b0110) 2011; 38
Alfayez, Mba, Dyson (b0010) 2005; 38
Zhang, Huang, Ji, Xie (b0265) 2011; 38
De Maesschalck, Jouan-Rimbaud, Massart (b0060) 2000; 50
Lee, Jung, Kim, Kang (b0120) 2002; 16
McKee, Forbes, Mazhar, Entwistle, Howard, Mapeza (b0145) 2012
Sakthivel, Sugumaran, Nair (b0185) 2010; 24
(p. 32). Gold Coast, QLD.
Wang, Chen (b0235) 2009; 18
Switzerland: ISO.
Fernández Pierna, Wahl, de Noord, Massart (b0065) 2002; 63
Rencher, Christensen (b0175) 2012
Wang (b0225) 2010; 5
McKee, Forbes, Mazhar, Entwistle, Howard (b0140) 2011
Toyota, T., Niho, T., & Peng, C. (2000). Condition monitoring and diagnosis of rotating machinery by Gram-Charlier expansion of vibration signal. In
Standardization, I. O. f. (2009). ISO 10816–7: Mechanical vibration – Evaluation of machine vibration by measurements on non-rotating parts. In
Daejeon, South Korea.
Černetič, Čudina (b0035) 2011; 44
McKee, Forbes, Mazhar, Entwistle, Howard (b0135) 2012
Parrondo, Velarde, Santolaria (b0160) 1998; 4
McKee, K. K., Forbes, G., Mazhar, I., Entwistle, R., Hodkiewicz, M. & Howard, I. (2012). A single cavitation indicator based on statistical parameters for a centrifugal pump. In
Wang, Y., Liu Hou, L., Yuan Shou, Q., Tan Ming, G., & Wang, K. (2009). Prediction research on cavitation performance for centrifugal pumps. In
Palgrave (b0155) 1989
Wang, Chen (b0230) 2007; 11
Azadeh, Ebrahimipour, Bavar (b0025) 2010; 37
Ashokkumar (b0015) 2011; 18
Jensen, Dayton (b0090) 2000; Vol. 2
Standardization, I. O. f. (1975). ISO 532: Method for calculating loudness level. In International organization for standardization. Switzerland
10.1016/j.eswa.2014.07.029_b0205
Athavale (10.1016/j.eswa.2014.07.029_b0020) 2002; 8
Palgrave (10.1016/j.eswa.2014.07.029_b0155) 1989
Jolliffe (10.1016/j.eswa.2014.07.029_b0095) 2005
Čudina (10.1016/j.eswa.2014.07.029_b0050) 2009; 70
Černetič (10.1016/j.eswa.2014.07.029_b0035) 2011; 44
10.1016/j.eswa.2014.07.029_b0080
Ashokkumar (10.1016/j.eswa.2014.07.029_b0015) 2011; 18
Kallesoe (10.1016/j.eswa.2014.07.029_b0105) 2004; Vol. 2
Hofmann (10.1016/j.eswa.2014.07.029_b0085) 2001
Wang (10.1016/j.eswa.2014.07.029_b0245) 2011; 38
Rayner (10.1016/j.eswa.2014.07.029_b0170) 1995
10.1016/j.eswa.2014.07.029_b0240
10.1016/j.eswa.2014.07.029_b0125
Alfayez (10.1016/j.eswa.2014.07.029_b0010) 2005; 38
10.1016/j.eswa.2014.07.029_b0200
McKee (10.1016/j.eswa.2014.07.029_b0145) 2012
Cudina (10.1016/j.eswa.2014.07.029_b0045) 2003; 17
10.1016/j.eswa.2014.07.029_b0215
Blagrove (10.1016/j.eswa.2014.07.029_b0030) 2003
Rencher (10.1016/j.eswa.2014.07.029_b0175) 2012
Uchiyama (10.1016/j.eswa.2014.07.029_b0220) 1998; 22
Kallesoe (10.1016/j.eswa.2014.07.029_b0100) 2006; 14
Klema (10.1016/j.eswa.2014.07.029_b0115) 2005
Yang (10.1016/j.eswa.2014.07.029_b0255) 2005; 28
Cho (10.1016/j.eswa.2014.07.029_b0040) 2010; 37
10.1016/j.eswa.2014.07.029_b0210
10.1016/j.eswa.2014.07.029_b0130
Sakthivel (10.1016/j.eswa.2014.07.029_b0185) 2010; 24
Kim (10.1016/j.eswa.2014.07.029_b0110) 2011; 38
Wang (10.1016/j.eswa.2014.07.029_b0225) 2010; 5
Zhang (10.1016/j.eswa.2014.07.029_b0265) 2011; 38
Parrondo (10.1016/j.eswa.2014.07.029_b0160) 1998; 4
Wold (10.1016/j.eswa.2014.07.029_b0250) 1987; 2
Sakthivel (10.1016/j.eswa.2014.07.029_b0180) 2010; 37
Franz (10.1016/j.eswa.2014.07.029_b0075) 1990; 112
Fernández Pierna (10.1016/j.eswa.2014.07.029_b0065) 2002; 63
McKee (10.1016/j.eswa.2014.07.029_b0140) 2011
Lee (10.1016/j.eswa.2014.07.029_b0120) 2002; 16
De Maesschalck (10.1016/j.eswa.2014.07.029_b0060) 2000; 50
Abdi (10.1016/j.eswa.2014.07.029_b0005) 2010; 2
McKee (10.1016/j.eswa.2014.07.029_b0135) 2012
Wang (10.1016/j.eswa.2014.07.029_b0230) 2007; 11
Jensen (10.1016/j.eswa.2014.07.029_b0090) 2000; Vol. 2
Azadeh (10.1016/j.eswa.2014.07.029_b0025) 2010; 37
Forsthoffer (10.1016/j.eswa.2014.07.029_b0070) 2011
Wang (10.1016/j.eswa.2014.07.029_b0235) 2009; 18
Neil (10.1016/j.eswa.2014.07.029_b0150) 1997; 211
10.1016/j.eswa.2014.07.029_b0190
Yedidiah (10.1016/j.eswa.2014.07.029_b0260) 1996
Rapposelli (10.1016/j.eswa.2014.07.029_b0165) 2002
10.1016/j.eswa.2014.07.029_b0195
10.1016/j.eswa.2014.07.029_b0270
Cui (10.1016/j.eswa.2014.07.029_b0055) 2008; 34
References_xml – reference: Standardization, I. O. f. (2009). ISO 10816–7: Mechanical vibration – Evaluation of machine vibration by measurements on non-rotating parts. In
– volume: Vol. 2
  start-page: 1229
  year: 2004
  end-page: 1235
  ident: b0105
  article-title: Model based fault diagnosis in a centrifugal pump application using structural analysis
  publication-title: Proceedings of the 2004 IEEE international conference on control applications
– volume: 8
  start-page: 45
  year: 2002
  end-page: 56
  ident: b0020
  article-title: Application of the full cavitation model to pumps and inducers
  publication-title: International Journal of Rotating Machinery
– reference: Toyota, T., Niho, T., & Peng, C. (2000). Condition monitoring and diagnosis of rotating machinery by Gram-Charlier expansion of vibration signal. In
– volume: 2
  start-page: 433
  year: 2010
  end-page: 459
  ident: b0005
  article-title: Principal component analysis
  publication-title: Wiley Interdisciplinary Reviews: Computational Statistics
– volume: 38
  start-page: 5704
  year: 2011
  end-page: 5710
  ident: b0110
  article-title: Unsupervised feature selection using weighted principal components
  publication-title: Expert Systems with Applications
– year: 1995
  ident: b0170
  article-title: Pump users handbook
– reference: Hodkiewicz, M. (2012). Personal conversation on cavitation data. In Perth.
– start-page: 513
  year: 2005
  end-page: 522
  ident: b0115
  article-title: Intelligent diagnosis and learning in centrifugal pumps
  publication-title: Emerging solutions for future manufacturing systems
– reference: McKee, K. K., Forbes, G., Mazhar, I., Entwistle, R., & Howard, I. (2011). A review of major centrifugal pump failure modes with application to the water supply and sewerage industries. In
– reference: Sloteman, D. P. (2007). Cavitation in high energy pumps – Detection and assessment of damage potential. In
– volume: 50
  start-page: 1
  year: 2000
  end-page: 18
  ident: b0060
  article-title: The Mahalanobis distance
  publication-title: Chemometrics and Intelligent Laboratory Systems
– reference: Sunwater. (2012). Personal communications with staff at Sunwater. In Bundaberg.
– volume: 18
  start-page: 397
  year: 2009
  end-page: 405
  ident: b0235
  article-title: Intelligent diagnosis method for a centrifugal pump using features of vibration signals
  publication-title: Neural Computing and Applications
– volume: 17
  start-page: 1335
  year: 2003
  end-page: 1347
  ident: b0045
  article-title: Detection of cavitation phenomenon in a centrifugal pump using audible sound
  publication-title: Mechanical Systems and Signal Processing
– year: 1996
  ident: b0260
  publication-title: Centrifugal pump user’s guidebook: Problems and solutions
– volume: 24
  start-page: 1887
  year: 2010
  end-page: 1906
  ident: b0185
  article-title: Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump
  publication-title: Mechanical Systems and Signal Processing
– volume: 38
  start-page: 354
  year: 2005
  end-page: 358
  ident: b0010
  article-title: The application of acoustic emission for detecting incipient cavitation and the best efficiency point of a 60
  publication-title: NDT & E International
– volume: 2
  start-page: 37
  year: 1987
  end-page: 52
  ident: b0250
  article-title: Principal component analysis
  publication-title: Chemometrics and Intelligent Laboratory Systems
– volume: 70
  start-page: 540
  year: 2009
  end-page: 546
  ident: b0050
  article-title: Detection of cavitation in operation of kinetic pumps. Use of discrete frequency tone in audible spectra
  publication-title: Applied Acoustics
– year: 2001
  ident: b0085
  article-title: Experimental and numerical studies on a centrifugal pump with 2D-curved blades in cavitating condition
  publication-title: CAV 2001: Fourth international symposium on cavitation
– year: 2005
  ident: b0095
  article-title: Principal component analysis
  publication-title: Encyclopedia of statistics in behavioral science
– year: 2003
  ident: b0030
  article-title: Cavitation detection in centrifugal pumps using vibration signals and fractal analysis
– volume: Vol. 2
  start-page: 26
  year: 2000
  end-page: 30
  ident: b0090
  article-title: Detecting cavitation in centrifugal pumps
  publication-title: Orbit
– volume: 37
  start-page: 627
  year: 2010
  end-page: 639
  ident: b0025
  article-title: A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry
  publication-title: Expert Systems with Applications
– reference: . Switzerland: ISO.
– volume: 112
  start-page: 264
  year: 1990
  end-page: 271
  ident: b0075
  article-title: The rotordynamic forces on a centrifugal pump impeller in the presence of cavitation
  publication-title: Transactions of ASME: Journal of Fluids Engineering
– reference: (p. 32). Gold Coast, QLD.
– volume: 37
  start-page: 4040
  year: 2010
  end-page: 4049
  ident: b0180
  article-title: Vibration based fault diagnosis of monoblock centrifugal pump using decision tree
  publication-title: Expert Systems with Applications
– volume: 211
  start-page: 267
  year: 1997
  end-page: 277
  ident: b0150
  article-title: Detection of incipient cavitation in pump using acoustic emission
  publication-title: Proceedings of the Institution of Mechanical Engineers
– volume: 22
  start-page: 235
  year: 1998
  end-page: 250
  ident: b0220
  article-title: Numerical simulation of cavitating flow using the upstream finite element method
  publication-title: Applied Mathematical Modelling
– year: 2002
  ident: b0165
  article-title: A new cavitating pump rotordynamic test facility
  publication-title: 38th AIAA/ASME/SAE/ASEE joint propulsion conference & exhibit
– volume: 38
  start-page: 7828
  year: 2011
  end-page: 7836
  ident: b0245
  article-title: The application of rough set and Mahalanobis distance to enhance the quality of OSA diagnosis
  publication-title: Expert Systems with Applications
– volume: 37
  start-page: 3482
  year: 2010
  end-page: 3488
  ident: b0040
  article-title: A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance. For bankruptcy prediction
  publication-title: Expert Systems with Applications
– reference: Standardization, I. O. f. (1975). ISO 532: Method for calculating loudness level. In International organization for standardization. Switzerland
– reference: (Vol. 1, pp. 137–140).
– volume: 44
  start-page: 1293
  year: 2011
  end-page: 1299
  ident: b0035
  article-title: Estimating uncertainty of measurements for cavitation detection in a centrifugal pump
  publication-title: Measurement
– volume: 4
  start-page: 198
  year: 1998
  end-page: 211
  ident: b0160
  article-title: Development of a predictive maintenance system for a centrifugal pump
  publication-title: Journal of Quality in Maintenance Engineering
– volume: 63
  start-page: 27
  year: 2002
  end-page: 39
  ident: b0065
  article-title: Methods for outlier detection in prediction
  publication-title: Chemometrics and Intelligent Laboratory Systems
– start-page: 276
  year: 2012
  end-page: 283
  ident: b0135
  article-title: Modification of the ISO-10816 centrifugal pump vibration severity charts for use with Octave band spectral measurements
  publication-title: 7th Australasian congress on applied mechanics
– reference: Standardization, I. O. f. (1998). ISO 10816–3: Mechanical vibration – Evaluation of machine vibration by measurements on non-rotating parts. In
– volume: 38
  start-page: 9036
  year: 2011
  end-page: 9040
  ident: b0265
  article-title: Image segmentation using PSO and PCM with Mahalanobis distance
  publication-title: Expert Systems with Applications
– volume: 34
  start-page: 1210
  year: 2008
  end-page: 1219
  ident: b0055
  article-title: Improved kernel principal component analysis for fault detection
  publication-title: Expert Systems with Applications
– volume: 14
  start-page: 204
  year: 2006
  end-page: 215
  ident: b0100
  article-title: Model based fault detection in a centrifugal pump application
  publication-title: IEEE Transactions on Control Systems Technology
– start-page: 405
  year: 2012
  end-page: 433
  ident: b0175
  article-title: Principal component analysis
  publication-title: Methods of multivariate analysis
– reference: Wang, Y., Liu Hou, L., Yuan Shou, Q., Tan Ming, G., & Wang, K. (2009). Prediction research on cavitation performance for centrifugal pumps. In
– reference: . Daejeon, South Korea.
– reference: Zouari, R., Sieg-Zieba, S., & Sidahmed, M. (2004). Fault detection system for centrifugal pumps using neural networks and neuro-fuzzy techniques. In
– reference: .
– volume: 11
  start-page: 41
  year: 2007
  end-page: 50
  ident: b0230
  article-title: Sequential condition diagnosis for centrifugal pump system using fuzzy neural network
  publication-title: Neural Information Processing – Letters and Reviews
– reference: (Vol. 2, pp. 541–544).
– start-page: 9
  year: 1989
  end-page: 28
  ident: b0155
  article-title: Diagnosing pump problems from their noise emissions signature
  publication-title: New challenges – Where next? – 11th International conference of the British pump manufacturers’ association
– volume: 28
  start-page: 735
  year: 2005
  end-page: 742
  ident: b0255
  article-title: VIBEX: An expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table
  publication-title: Expert Systems with Applications
– volume: 16
  start-page: 1497
  year: 2002
  end-page: 1510
  ident: b0120
  article-title: Cavitation mode analysis of pump inducer
  publication-title: KSME International Journal
– reference: McKee, K. K., Forbes, G., Mazhar, I., Entwistle, R., Hodkiewicz, M. & Howard, I. (2012). A single cavitation indicator based on statistical parameters for a centrifugal pump. In
– volume: 18
  start-page: 864
  year: 2011
  end-page: 872
  ident: b0015
  article-title: The characterization of acoustic cavitation bubbles – An overview
  publication-title: Ultrasonics Sonochemistry
– start-page: 276
  year: 2012
  end-page: 283
  ident: b0145
  article-title: Modification of the ISO-10816 centrifugal pump vibration severity charts for use with Octave band spectral measurements
  publication-title: Proceedings: the 7th Australasian congress on applied mechanics (ACAM 7), 9 - 12 December 2012
– year: 2011
  ident: b0140
  article-title: A review of machinery diagnostics & prognostics implemented on a centrifugal pump
  publication-title: Proceedings of the 6th world congress on engineering asset management
– start-page: 25
  year: 2011
  end-page: 91
  ident: b0070
  article-title: 2 - pump best practices
  publication-title: Forsthoffer’s best practice handbook for rotating machinery
– reference: (pp. 29–38). George R. Brown Convention Center, Houston, TX, USA.
– volume: 5
  start-page: 118
  year: 2010
  end-page: 124
  ident: b0225
  article-title: Intelligent diagnosis methods for plant machinery
  publication-title: Frontiers of Mechanical Engineering in China
– volume: 112
  start-page: 264
  year: 1990
  ident: 10.1016/j.eswa.2014.07.029_b0075
  article-title: The rotordynamic forces on a centrifugal pump impeller in the presence of cavitation
  publication-title: Transactions of ASME: Journal of Fluids Engineering
– ident: 10.1016/j.eswa.2014.07.029_b0240
  doi: 10.1109/ICICISYS.2009.5357921
– volume: Vol. 2
  start-page: 1229
  year: 2004
  ident: 10.1016/j.eswa.2014.07.029_b0105
  article-title: Model based fault diagnosis in a centrifugal pump application using structural analysis
– ident: 10.1016/j.eswa.2014.07.029_b0200
– year: 1995
  ident: 10.1016/j.eswa.2014.07.029_b0170
– volume: 16
  start-page: 1497
  year: 2002
  ident: 10.1016/j.eswa.2014.07.029_b0120
  article-title: Cavitation mode analysis of pump inducer
  publication-title: KSME International Journal
  doi: 10.1007/BF02985143
– year: 2005
  ident: 10.1016/j.eswa.2014.07.029_b0095
  article-title: Principal component analysis
– ident: 10.1016/j.eswa.2014.07.029_b0210
– ident: 10.1016/j.eswa.2014.07.029_b0195
– volume: 38
  start-page: 7828
  year: 2011
  ident: 10.1016/j.eswa.2014.07.029_b0245
  article-title: The application of rough set and Mahalanobis distance to enhance the quality of OSA diagnosis
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2010.12.122
– volume: 34
  start-page: 1210
  year: 2008
  ident: 10.1016/j.eswa.2014.07.029_b0055
  article-title: Improved kernel principal component analysis for fault detection
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2006.12.010
– volume: 38
  start-page: 5704
  year: 2011
  ident: 10.1016/j.eswa.2014.07.029_b0110
  article-title: Unsupervised feature selection using weighted principal components
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2010.10.063
– ident: 10.1016/j.eswa.2014.07.029_b0130
– volume: Vol. 2
  start-page: 26
  year: 2000
  ident: 10.1016/j.eswa.2014.07.029_b0090
  article-title: Detecting cavitation in centrifugal pumps
– volume: 37
  start-page: 4040
  year: 2010
  ident: 10.1016/j.eswa.2014.07.029_b0180
  article-title: Vibration based fault diagnosis of monoblock centrifugal pump using decision tree
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2009.10.002
– volume: 11
  start-page: 41
  year: 2007
  ident: 10.1016/j.eswa.2014.07.029_b0230
  article-title: Sequential condition diagnosis for centrifugal pump system using fuzzy neural network
  publication-title: Neural Information Processing – Letters and Reviews
  doi: 10.1007/s11063-007-9041-1
– volume: 37
  start-page: 3482
  year: 2010
  ident: 10.1016/j.eswa.2014.07.029_b0040
  article-title: A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance. For bankruptcy prediction
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2009.10.040
– year: 2001
  ident: 10.1016/j.eswa.2014.07.029_b0085
  article-title: Experimental and numerical studies on a centrifugal pump with 2D-curved blades in cavitating condition
– volume: 17
  start-page: 1335
  year: 2003
  ident: 10.1016/j.eswa.2014.07.029_b0045
  article-title: Detection of cavitation phenomenon in a centrifugal pump using audible sound
  publication-title: Mechanical Systems and Signal Processing
  doi: 10.1006/mssp.2002.1514
– volume: 8
  start-page: 45
  year: 2002
  ident: 10.1016/j.eswa.2014.07.029_b0020
  article-title: Application of the full cavitation model to pumps and inducers
  publication-title: International Journal of Rotating Machinery
  doi: 10.1155/S1023621X02000052
– volume: 28
  start-page: 735
  year: 2005
  ident: 10.1016/j.eswa.2014.07.029_b0255
  article-title: VIBEX: An expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2004.12.030
– ident: 10.1016/j.eswa.2014.07.029_b0215
  doi: 10.1109/KES.2000.884106
– volume: 2
  start-page: 433
  year: 2010
  ident: 10.1016/j.eswa.2014.07.029_b0005
  article-title: Principal component analysis
  publication-title: Wiley Interdisciplinary Reviews: Computational Statistics
  doi: 10.1002/wics.101
– volume: 50
  start-page: 1
  year: 2000
  ident: 10.1016/j.eswa.2014.07.029_b0060
  article-title: The Mahalanobis distance
  publication-title: Chemometrics and Intelligent Laboratory Systems
  doi: 10.1016/S0169-7439(99)00047-7
– start-page: 25
  year: 2011
  ident: 10.1016/j.eswa.2014.07.029_b0070
  article-title: 2 - pump best practices
– ident: 10.1016/j.eswa.2014.07.029_b0270
– volume: 5
  start-page: 118
  year: 2010
  ident: 10.1016/j.eswa.2014.07.029_b0225
  article-title: Intelligent diagnosis methods for plant machinery
  publication-title: Frontiers of Mechanical Engineering in China
  doi: 10.1007/s11465-009-0084-z
– volume: 22
  start-page: 235
  year: 1998
  ident: 10.1016/j.eswa.2014.07.029_b0220
  article-title: Numerical simulation of cavitating flow using the upstream finite element method
  publication-title: Applied Mathematical Modelling
  doi: 10.1016/S0307-904X(98)10003-3
– start-page: 405
  year: 2012
  ident: 10.1016/j.eswa.2014.07.029_b0175
  article-title: Principal component analysis
– volume: 14
  start-page: 204
  year: 2006
  ident: 10.1016/j.eswa.2014.07.029_b0100
  article-title: Model based fault detection in a centrifugal pump application
  publication-title: IEEE Transactions on Control Systems Technology
  doi: 10.1109/TCST.2005.860524
– year: 1996
  ident: 10.1016/j.eswa.2014.07.029_b0260
– volume: 18
  start-page: 397
  year: 2009
  ident: 10.1016/j.eswa.2014.07.029_b0235
  article-title: Intelligent diagnosis method for a centrifugal pump using features of vibration signals
  publication-title: Neural Computing and Applications
  doi: 10.1007/s00521-008-0192-4
– ident: 10.1016/j.eswa.2014.07.029_b0080
– volume: 63
  start-page: 27
  year: 2002
  ident: 10.1016/j.eswa.2014.07.029_b0065
  article-title: Methods for outlier detection in prediction
  publication-title: Chemometrics and Intelligent Laboratory Systems
  doi: 10.1016/S0169-7439(02)00034-5
– ident: 10.1016/j.eswa.2014.07.029_b0125
– volume: 18
  start-page: 864
  year: 2011
  ident: 10.1016/j.eswa.2014.07.029_b0015
  article-title: The characterization of acoustic cavitation bubbles – An overview
  publication-title: Ultrasonics Sonochemistry
  doi: 10.1016/j.ultsonch.2010.11.016
– volume: 38
  start-page: 354
  year: 2005
  ident: 10.1016/j.eswa.2014.07.029_b0010
  article-title: The application of acoustic emission for detecting incipient cavitation and the best efficiency point of a 60kW centrifugal pump: Case study
  publication-title: NDT & E International
  doi: 10.1016/j.ndteint.2004.10.002
– year: 2003
  ident: 10.1016/j.eswa.2014.07.029_b0030
– volume: 38
  start-page: 9036
  year: 2011
  ident: 10.1016/j.eswa.2014.07.029_b0265
  article-title: Image segmentation using PSO and PCM with Mahalanobis distance
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2011.01.041
– volume: 24
  start-page: 1887
  year: 2010
  ident: 10.1016/j.eswa.2014.07.029_b0185
  article-title: Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump
  publication-title: Mechanical Systems and Signal Processing
  doi: 10.1016/j.ymssp.2010.01.008
– ident: 10.1016/j.eswa.2014.07.029_b0205
– volume: 44
  start-page: 1293
  year: 2011
  ident: 10.1016/j.eswa.2014.07.029_b0035
  article-title: Estimating uncertainty of measurements for cavitation detection in a centrifugal pump
  publication-title: Measurement
  doi: 10.1016/j.measurement.2011.03.023
– volume: 4
  start-page: 198
  year: 1998
  ident: 10.1016/j.eswa.2014.07.029_b0160
  article-title: Development of a predictive maintenance system for a centrifugal pump
  publication-title: Journal of Quality in Maintenance Engineering
  doi: 10.1108/13552519810223490
– ident: 10.1016/j.eswa.2014.07.029_b0190
– volume: 70
  start-page: 540
  year: 2009
  ident: 10.1016/j.eswa.2014.07.029_b0050
  article-title: Detection of cavitation in operation of kinetic pumps. Use of discrete frequency tone in audible spectra
  publication-title: Applied Acoustics
  doi: 10.1016/j.apacoust.2008.07.005
– start-page: 513
  year: 2005
  ident: 10.1016/j.eswa.2014.07.029_b0115
  article-title: Intelligent diagnosis and learning in centrifugal pumps
– start-page: 9
  year: 1989
  ident: 10.1016/j.eswa.2014.07.029_b0155
  article-title: Diagnosing pump problems from their noise emissions signature
– year: 2002
  ident: 10.1016/j.eswa.2014.07.029_b0165
  article-title: A new cavitating pump rotordynamic test facility
– start-page: 276
  year: 2012
  ident: 10.1016/j.eswa.2014.07.029_b0145
  article-title: Modification of the ISO-10816 centrifugal pump vibration severity charts for use with Octave band spectral measurements
– volume: 211
  start-page: 267
  year: 1997
  ident: 10.1016/j.eswa.2014.07.029_b0150
  article-title: Detection of incipient cavitation in pump using acoustic emission
  publication-title: Proceedings of the Institution of Mechanical Engineers
  doi: 10.1243/0954408971529737
– volume: 37
  start-page: 627
  year: 2010
  ident: 10.1016/j.eswa.2014.07.029_b0025
  article-title: A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2009.06.018
– year: 2011
  ident: 10.1016/j.eswa.2014.07.029_b0140
  article-title: A review of machinery diagnostics & prognostics implemented on a centrifugal pump
– start-page: 276
  year: 2012
  ident: 10.1016/j.eswa.2014.07.029_b0135
  article-title: Modification of the ISO-10816 centrifugal pump vibration severity charts for use with Octave band spectral measurements
– volume: 2
  start-page: 37
  year: 1987
  ident: 10.1016/j.eswa.2014.07.029_b0250
  article-title: Principal component analysis
  publication-title: Chemometrics and Intelligent Laboratory Systems
  doi: 10.1016/0169-7439(87)80084-9
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Snippet •Octave band analysis and PCA used on RMS velocity to obtain key indicators.•Mahalanobis distance is used to set thresholds since data is normally...
Cavitation is one of the main problems reducing the longevity of centrifugal pumps in industry today. If the pump operation is unable to maintain operating...
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StartPage 67
SubjectTerms Acoustics
Applied sciences
Cavitation
Centrifugal pumps
Computer science; control theory; systems
Condition based monitoring
Data processing. List processing. Character string processing
Drops and bubbles
Exact sciences and technology
Flashing
Fluid dynamics
Fundamental areas of phenomenology (including applications)
Impellers
Memory organisation. Data processing
Nonhomogeneous flows
Octave band analysis
Physics
Principal component analysis
Pumps
Software
Solid mechanics
Statistical methods
Structural and continuum mechanics
Underwater sound
Vibration
Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)
Volutes
Title A vibration cavitation sensitivity parameter based on spectral and statistical methods
URI https://dx.doi.org/10.1016/j.eswa.2014.07.029
https://www.proquest.com/docview/1651425145
Volume 42
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