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 in | Expert systems with applications Vol. 42; no. 1; pp. 67 - 78 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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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. |
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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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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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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 |
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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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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 |
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