Diagnostics of eccentricities and bar/end-ring connector breakages in polyphase induction motors through a combination of time-series data mining and time-stepping coupled FE-state space techniques

Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)

Volumn 3, Issue , 2001, Pages 1579-1586

  Bangura, John F ^a   Povinelli, Richard J ^b   Demerdash, Nabeel A O ^b   Brown, Ronald H ^b  

^a Black and Decker Corporation   (United States)

^b Marquette University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA MINING; ELECTRIC CONNECTORS; ELECTRIC FAULT CURRENTS; FINITE ELEMENT METHOD; STATE SPACE METHODS; TIME SERIES ANALYSIS; TORQUE; WAVEFORM ANALYSIS;

BAR CONNECTOR BREAKAGES; ECCENTRICITIES; END RING CONNECTOR BREAKAGES; FAULT SIMULATION;

SQUIRREL CAGE MOTORS;

EID: 0035149018     PISSN: 01972618     EISSN: None     Source Type: Journal    
DOI: 10.1109/IAS.2001.955746     Document Type: Article

References (17)

1. Bibliography on induction motors faults detection and diagnosis
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3. Effects of time-varying loads on rotor fault detection in induction machines
4. Unsupervised, on-line system for induction motor fault detection using stator current monitoring
5. Integrated on-line motor protection system
6. Neural networks aided on-line diagnostics of induction motor rotor faults
7. Performance and torque-ripple characterization in induction motor adjustable speed drives using time-stepping coupled finite element state space techniques
8. Characterization of induction motors in adjustable-speed drives using a time-stepping coupled finite-element state-space method including experimental validation
9. Comparison between characterization and diagnosis of broken bars/end-ring connectors and airgap eccentricities of induction motors in ASDs using a coupled finite element-state space method
10. Simulation of inverter-fed induction motor drives with pulse-width modulation by a time-stepping coupled finite element-flux linkage-based state space model
11. Temporal pattern identification of time series data using pattern wavelets and genetic algorithms
12. Data mining of multiple nonstationary time series
13. Diagnostics of bar and end-ring connector breakage faults in polyphase induction motors through a novel dual track of time-series data mining and time-stepping coupled FE-state space modeling
14. Effects of broken bars/end-ring connectors and airgap eccentricities on ohmic and core losses of induction motors in ASDs using a coupled finite element-state space method
15. Detecting strange attractors in turbulence