电测与仪表2017，Vol.54Issue(10)：26-31,6.
断路器操动状态声音辨识的优化算法的研究
Research of optimization algorithm for sound signal recognition of circuit breaker operating state
赵书涛 1李沐峰 1王亚潇 1孙会伟1
作者信息
- 1. 华北电力大学 电气与电子工程学院,河北 保定 071003
- 折叠
摘要
Abstract
To solve the ambient interference of online fault diagnostics in high voltage circuit breaker which is based on acoustic signal analysis,a blind source separation method is proposed for sound disturbance signal recognition.An improved potential function is used to estimate sources,and then,the ensemble empirical mode decomposition (EEMD) is applied for calculating several intrinsic mode functions (IMF),and the multidimensional signals are reconstructed in line with the number of sources.The sound signal blind source separation is completed by fast independent component analysis (FastICA),which is optimized by a quasi-Newton method.The sound signal component of breaker closing state identification is obtained according envelope features comparison.The experimental results show that the proposed method can make the useful acoustic signal generated by the action of circuit breakers extracted effectively from mixed voice signal while the information of sources is unknown.关键词
断路器/故障诊断/源数估计/盲源分离/声音信号Key words
circuit breaker/fault diagnosis/sources estimate/blind source separation/sound signal分类
信息技术与安全科学引用本文复制引用
赵书涛,李沐峰,王亚潇,孙会伟..断路器操动状态声音辨识的优化算法的研究[J].电测与仪表,2017,54(10):26-31,6.
