Research on Power Equipment Fault Diagnosis Technology Based on Acoustic Signal
Hongsen Zou, Haoyang Chen, Zhiyuan Liu, Guohua Wang
Ningxia Water Conservancy Xidian University
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摘要与影响
In recent years, with the continuous growth of China’s electricity load, the power industry has developed rapidly. Power transformer is the most important and expensive in transmission and distribution system of large-scale power equipment, which undertakes the important task of power transmission. With the development of power system towards ultra-high voltage, large power grid and intelligence, it is particularly important to improve the safe operation level of transformers. Once the power transformer accident occurs, the repair time is longer and the influence is more serious. To solve this problem, a new power equipment fault diagnosis technology based on acoustic signals is studied in this paper, which is used to accurately diagnose and analyse the running state of the transformer. The simulation results show that the fault diagnosis based on acoustic signal is more accurate and can effectively diagnose the fault of power equipment.
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工程Machine Fault Diagnosis Techniques
Power Transformer Diagnostics and Insulation · Advanced Sensor and Control Systems
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