At present, the detection methods of electric device faults are often undertaken by infrared imaging system, ultrasonic imagining system, etc. However, these techniques have some inherited shortcomings. As to the high insulation level of an Ultra High Voltage system, the long distance from ground exists. Thus it needs a more effective detection technology for the safety of power system. This paper studies on the mechanism of UV light and corona discharge, recommends the maximum UV photon number as the important parameter to evaluate the serious degree of defects, extracts the UV spectrum characteristics of various typical faults of electric device, and discusses about the insufficient part of UV detection. The research results will help power system maintenance to develop on-line monitoring of power network and get an accurate defect point and type.
Abstract-In order to evaluate the condition of the high voltage circuit breaker (HVCB) operating mechanism, a method based on the coil current (CC) waveform of the operating mechanism has been studied in this paper. A finite element method (FEM) with high accuracy has been used to establish an electromagnetic system model of the operating mechanism. The effects of the mechanical parameter variations and mechanism faults on the CC waveform have been studied by simulation and experimental studies, and the features and inflections of the CC waveform are determined as the evaluation indices of the mechanism. Then the slope method has been used to extract features and inflections of the CC waveform after filtering, and the CC features are optimized by Pearson correlation coefficient method. Finally, the condition of the HVCB operating mechanism has been evaluated by the combination of the waveform recognition and neural network analysis. It has been concluded that the evaluation results can accurately reflect the operation condition of the HVCB operating mechanism.
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