Affiliation:
1. School of Electrical Engineering, Southeast University, Nanjing 210096, China
2. Nanjing Power Supply Branch Company, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211102, China
Abstract
In modern power systems or new energy power stations, the medium voltage circuit breakers (MVCBs) are becoming more crucial and the operation reliability of the MVCBs could be greatly improved by online monitoring technology. The purpose of this research is to put forward a fault diagnosis approach based on vibration signal envelope analysis, including offline fault feature training and online fault diagnosis. During offline fault feature training, the envelope of the vibration signal is extracted from the historic operation data of the MVCB, and then the typical fault feature vector M is built by using the wavelet packet-energy spectrum. In the online fault diagnosis process, the fault feature vector T is built based on the extracted envelope of the real-time vibration signal, and the MVCB states are assessed by using the distance between the feature vectors T and M. The proposed method only needs to handle the envelope of the vibration signal, which dramatically reduces the signal bandwidth, and then the cost of the processing hardware and software could be cut down.
Funder
National Key R&D Program of China “Intergovernmental International Science and Technology Innovation Cooperation” Key Special Project
Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference25 articles.
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