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http://dx.doi.org/10.5207/JIEIE.2005.19.3.075

Fault Diagnosis of Voltage-Fed Inverters Using Pattern Recognition Techniques for Induction Motor Drive  

Park, Jang-Hwan (충주대학교 정보제어공학과)
Park, Sung-Moo (충주대학교 정보제어공학과)
Lee, Dae-Jong (충주대학교 정보제어공학과)
Kim, Dong-Hwa (충주대학교 정보제어공학과)
Chun, Myung-Geun (충주대학교 정보제어공학과)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.19, no.3, 2005 , pp. 75-84 More about this Journal
Abstract
Since an unexpected fault of induction motor drive systems can cause serious troubles in many industrial applications, which the technique is required to diagnose faults of a voltage-fed PWM inverter for induction motor drives. The considered fault types are rectifier diodes, switching devices and input terminals with open-circuit faults, and the signal for diagnosis is derived from motor currents. The magnitude of dq-current trajectory is used for the feature extraction of a fault and PCA LDA are applied to diagnose. Also, we show results with respect to the execution time because of the possibility to use that a diagnosis software is embedded in the controllers of medium and small size induction motors drive for real-time diagnosis. After we performed various simulations for the fault diagnosis of the inverter, the usefulness of proposed algerian was verified.
Keywords
fault diagnosis; induction motor drive system; inverter; PDA; LDA; SOM;
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