2005 IEEE Vehicle Power and Propulsion Conference
DOI: 10.1109/vppc.2005.1554549
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Methods to Identify Intermittent Electrical and Mechanical Faults in Permanent Magnet AC Drives Based on Wavelet Analysis

Abstract: Prognosis of failures of electric drives can be achieved through the detection of non-catastrophic faults. As the frequency and severity of these faults increase, the expected working life of the drive decreases, leading to eventual failure. In this work, a method is presented to identify developing electrical and mechanical faults based on analysis of the Undecimated Discrete Wavelet Transform of the field oriented currents in PMAC drives. Linear discriminant analysis is used to classify between the fault typ… Show more

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Cited by 7 publications
(5 citation statements)
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“…2c). The currents in remaining healthy phases can be calculated from (13). The phase currents and static torque of the machine under this condition is presented in Fig 7(a) and 7(b) respectively.…”
Section: Simulation Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…2c). The currents in remaining healthy phases can be calculated from (13). The phase currents and static torque of the machine under this condition is presented in Fig 7(a) and 7(b) respectively.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…The Pulsating torque T f obtained both from equation (8) and FEA presented in Fig 8a are in good agreement with each other. The information of the pulsating torque T f can be used in (9) and (13) to obtain the current in the remaining healthy phases required to produce the desired output torque. The current waveforms of the healthy phases are presented in Fig 8 (b).…”
Section: Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The Pulsating torque T f obtained both from equation (8) and FEA presented in Fig 8a are in good agreement with each other. The information of the pulsating torque T f can be used in (9) and (13) to obtain the current in the remaining healthy phases required to produce the desired output torque. The current waveforms of the healthy phases are presented in Fig 8 (b).…”
Section: Simulation Resultsmentioning
confidence: 99%
“…There exists, in frequency domain, many health monitoring and failure diagnosis methods for PWM drive systems. Except permanent fault with significant amplitude change which can be identified by some classical diagnosis methods (Richardeau et al, 2002), frequency domain methods based on time-frequency transform and wavelet packet transform were developed to handle incipient degradation in PWM non stationary process (Yen and Lin, 2000;Zanardelli and Strangas, 2005). To enhance effectiveness of those approaches, some predictive maintenance research specialists associated statistical classification and learning methods, but questions remain pertaining to their real-time implementation capability (Qiu et al, 2006;Awadallah and Morcos, 2006).…”
Section: Introductionmentioning
confidence: 99%