基于操作力矩的高压隔离开关机械缺陷智能诊断

doi:10.19595/j.cnki.1000-6753.tces.200258

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Abstract As high voltage equipment with the largest number and most failures, disconnector still judged by the backward traditional maintenance methods. This paper aims to propose a convenient and reliable fault diagnosis method for disconnector. Based on the consistent results of rigid-flexible coupling dynamic simulation and torque detection experiment, the driving torque is proved closely related to the states of disconnector, and three characteristics extracted from the driving torque wave was chosen as the input of the neural network model, which can identify four typical status of disconnector intelligently. And the neural network model was optimized to output more information about its degree, which can provide more useful reference for the fault diagnosis of disconnector.

Key words： Disconnectors fault diagnosis dynamic simulation neural network

Received: 12 March 2020

PACS:

TM732

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	Articles by authors
	Peng Shiyi
	Liu Yan
	Zhou Taotao
	Ruan Jiangjun
	Liu Yuan

Cite this article:

Peng Shiyi,Liu Yan,Zhou Taotao等. Intelligent Diagnosis Technology of Mechanical Defects of High Voltage Disconnector[J]. Transactions of China Electrotechnical Society, 2021, 36(7): 1356-1367.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200258 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I7/1356

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