摘要详情

ID / 提交时间

241 / 2024-06-29 23:36:23

标题

Research and application of partial discharge identification method of switchgear based on joint feature collocation GBDT

关键字

Switchgear,Partial discharge,Audio recognition,Feature extraction,Gradient boosting decision tree

主题及专题

6)Digital design technologies (CAE) in switchgears

状态

终稿

作者

Dongyun Dai / Xiamen University of Technology

Yuji Lin / Xiamen University of Technology

Yimin You / Xiamen University of Technology

Zhongqing Sang / Xiamen University of Technology

Quanchang Liao / Xiamen University of Technology

Yuan ting Tu / Xia Men university of technology

摘要

The audio signal in the running process of the switchgear contains a lot of operating state information, which is of great significance to the monitoring of the internal insulation fault and abnormal state. In order to accurately identify partial discharge signals and non-partial discharge signals from audio signals collected in the complex environment of switching station, a method of feature extraction and recognition of partial discharge signals based on joint feature and gradient lifting decision tree (GBDT) is proposed. Firstly, the information distribution of partial discharge signal and non-partial discharge signal in time domain, frequency domain and time-frequency domain is analyzed, and corresponding features are extracted to form joint features. Then, GBDT is used to train the model and complete the recognition. Finally, the recognition method is verified, and various combinations are compared with common features and support vector machine (SVM). The recognition accuracy of combined features with GBDT reaches 100%. Based on this method, an online monitoring system is designed, and the audio recording and partial discharge identification results are displayed in the WeChat mini program. The research method and the system designed in this paper can be used for the on-line analysis and detection of the audio signal of the switchgear, which has certain engineering application value.