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Neural Network Processing of Signals for Condition Monitoring and Fault Detection in PWM Inverters

Z. A. M. Sharif

出版	National Electronics and Computer Technology Center (NECTEC), National Research Council of Thailand, 1995
URL	http://books.google.com.hk/books?id=JgpjAQAACAAJ&hl=&source=gbs_api

註釋

The application of neural networks to the monitoring and detection of incipient faults in induction motors has been demonstrated by other researchers. However, with the increasing use of power semiconductor devices for speed control, it is desirable that their performance should also be monitored to detect possible fault conditions. The paper describes the selection of signals available from an inverter for the purposes of monitoring performance. Although many types of inverter are available, the sinusoidal Pulse Width Modulated (PWM) inverter was used as the initial target for implementing a neural network condition monitoring and fault detection system.