高压电器2023，Vol.59Issue(9)：242-249,8.DOI:10.13296/j.1001-1609.hva.2023.09.029
声振信号构造CNN特征矩阵的断路器储能机构故障诊断方法
Fault Diagnosis Method for the Charging Operating Mechanism of Circuit Breaker Based on CNN Characteristic Matrix Constructed by Sound-vibration Signal
摘要
关键词
断路器/声振信号/卷积神经网络/时标对位/特征矩阵/数据扩容Key words
circuit breaker/acoustic-vibration signal/CNN/time scale alignment/characteristic matrix/data expansion引用本文复制引用
尹子会,孟延辉,赵智龙,赵书涛,牛为华,徐晓会..声振信号构造CNN特征矩阵的断路器储能机构故障诊断方法[J].高压电器,2023,59(9):242-249,8.基金项目
国网河北省电力有限公司科技项目资助(kj2020-024). Project Supported by State Grid Hebei Electric Power Co.,Ltd.Science and Technology Project(kj2020-024). （kj2020-024）
