Diagnosis of Interturn Faults in PMSMs Operating Under Nonstationary Conditions by Applying Order Tracking Filtering

Interturn faults in permanent magnet synchronous machines may have very harmful effects if not early identified. This study deals with the detection of such faults when the machine operates under varying speed conditions. The performance of two methods is analyzed and compared, i.e., the analysis of...

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Bibliographic Details
Published inIEEE transactions on power electronics Vol. 28; no. 1; pp. 507 - 515
Main Authors Urresty, J., Riba, J., Romeral, L.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.01.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Applied sciences
Circuit faults
Current measurement
Electric currents
Electric power
Electrical engineering. Electrical power engineering
Electrical machines
Electronics
Exact sciences and technology
Fault currents
Fault diagnosis
Harmonic analysis
interturn faults
Miscellaneous
nonstationary conditions
order tracking
permanent magnet synchronous machine (PMSMs)
Power harmonic filters
Stator windings
Testing, measurement, noise and reliability
Testing. Reliability. Quality control
Performance evaluation
Third harmonic
interturn faults
Zero sequence component
Synchronous machine
Stator
Non stationary condition
nonstationary conditions
Experimental study
Algorithm
Varying speed
Operating conditions
Stator winding
Fault diagnosis
permanent magnet synchronous machine (PMSMs)
High speed
order tracking
Permanent magnet machine
Kalman filtering
Diagnostic aid
Fault diagnostic
Comparative study
Defect detection
Machine windings
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Abstract Interturn faults in permanent magnet synchronous machines may have very harmful effects if not early identified. This study deals with the detection of such faults when the machine operates under varying speed conditions. The performance of two methods is analyzed and compared, i.e., the analysis of the third harmonic of the stator currents and the first one of the zero-sequence voltage components. The Vold-Kalman filtering order tracking algorithm is introduced and applied to track the harmonics of interest when the machine operates under a wide speed range and different load levels. This study also presents two reliable fault indicators especially focused to detect stator winding interturn faults under nonstationary speed conditions. Experimental results endorse the methodology proposed, showing its potential to carry out a reliable fault diagnosis scheme.
AbstractList Interturn faults in permanent magnet synchronous machines may have very harmful effects if not early identified. This study deals with the detection of such faults when the machine operates under varying speed conditions. The performance of two methods is analyzed and compared, i.e., the analysis of the third harmonic of the stator currents and the first one of the zero-sequence voltage components. The Vold-Kalman filtering order tracking algorithm is introduced and applied to track the harmonics of interest when the machine operates under a wide speed range and different load levels. This study also presents two reliable fault indicators especially focused to detect stator winding interturn faults under nonstationary speed conditions. Experimental results endorse the methodology proposed, showing its potential to carry out a reliable fault diagnosis scheme. [PUBLICATION ABSTRACT]
Interturn faults in permanent magnet synchronous machines may have very harmful effects if not early identified. This study deals with the detection of such faults when the machine operates under varying speed conditions. The performance of two methods is analyzed and compared, i.e., the analysis of the third harmonic of the stator currents and the first one of the zero-sequence voltage components. The Vold-Kalman filtering order tracking algorithm is introduced and applied to track the harmonics of interest when the machine operates under a wide speed range and different load levels. This study also presents two reliable fault indicators especially focused to detect stator winding interturn faults under nonstationary speed conditions. Experimental results endorse the methodology proposed, showing its potential to carry out a reliable fault diagnosis scheme.
Author Urresty, J.
Romeral, L.
Riba, J.
Author_xml – sequence: 1
  givenname: J.
  surname: Urresty
  fullname: Urresty, J.
  email: julio.urresty@mcia.upc.edu
  organization: Dept. of Electron. Eng., Univ. Politec. de Catalunya, Barcelona, Spain
– sequence: 2
  givenname: J.
  surname: Riba
  fullname: Riba, J.
  email: riba@ee.upc.edu
  organization: Dept. of Electr. Eng., Univ. Politec. de Catalunya, Barcelona, Spain
– sequence: 3
  givenname: L.
  surname: Romeral
  fullname: Romeral, L.
  email: romeral@eel.upc.edu
  organization: Dept. of Electron. Eng., Univ. Politec. de Catalunya, Barcelona, Spain
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Issue 1
Keywords Performance evaluation
Third harmonic
interturn faults
Zero sequence component
Synchronous machine
Stator
Non stationary condition
nonstationary conditions
Experimental study
Algorithm
Varying speed
Operating conditions
Stator winding
Fault diagnosis
permanent magnet synchronous machine (PMSMs)
High speed
order tracking
Permanent magnet machine
Kalman filtering
Diagnostic aid
Fault diagnostic
Comparative study
Defect detection
Machine windings
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Snippet Interturn faults in permanent magnet synchronous machines may have very harmful effects if not early identified. This study deals with the detection of such...
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StartPage 507
SubjectTerms Algorithms
Applied sciences
Circuit faults
Current measurement
Electric currents
Electric power
Electrical engineering. Electrical power engineering
Electrical machines
Electronics
Exact sciences and technology
Fault currents
Fault diagnosis
Harmonic analysis
interturn faults
Miscellaneous
nonstationary conditions
order tracking
permanent magnet synchronous machine (PMSMs)
Power harmonic filters
Stator windings
Testing, measurement, noise and reliability
Testing. Reliability. Quality control
Title Diagnosis of Interturn Faults in PMSMs Operating Under Nonstationary Conditions by Applying Order Tracking Filtering
URI https://ieeexplore.ieee.org/document/6198360
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