Fault diagnosis method for power electronic based on wavelet transform and extreme learning machine

机译：基于小波变换和极限学习机的电力电子故障诊断方法

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摘要

In this paper,a novel method is presented to detect and diagnosis faults in the inverter.In this method,the features are extracted from the phase currents by the wavelet transform,and the extreme learning machine(ELM)are used to locate the fault device.The ELM has faster learning speed,and this diagnosis method has higher location rates.Experiment for the three-phase full-bridge inverter demonstrates that the proposed method is feasible and valid for the fault diagnosis of the inverters.

机译：本文提出了一种检测和诊断逆变器故障的新方法。该方法通过小波变换从相电流中提取特征，并采用极限学习机（ELM）对故障设备进行定位。 ELM的学习速度较快，该诊断方法具有较高的定位率。三相全桥逆变器的实验表明，该方法对逆变器的故障诊断是可行和有效的。

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来源
《Proceedings of the Fifth international symposium on test automation amp; instrumentation》|2014年|27-31|共5页
会议地点 Beijing(CN)
作者
Chen Li; Cai Hongjun; Tang Shengxue; Wang Jingqin;
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作者单位

Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability,Hebei University of Technology,Tianjin 300130,China;

Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability,Hebei University of Technology,Tianjin 300130,China;

Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability,Hebei University of Technology,Tianjin 300130,China;

Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability,Hebei University of Technology,Tianjin 300130,China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类仪器、仪表;
关键词
Fault diagnosis; inverter; wavelet Transform;

机译：故障诊断；逆变器；小波变换;

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2. A fault diagnosis approach for rolling element bearings based on dual-tree complex wavelet packet transform-improved intrinsic time-scale decomposition, singular value decomposition, and online sequential extreme learning machine: [J] . Qingbin Tong, Junci Cao, Baozhu Han, Advances in Mechanical Engineering . 2017,第12期

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3. Fault diagnosis method based on wavelet packet-energy entropy and fuzzy kernel extreme learning machine: [J] . Jun Ma, Jiande Wu, Xiaodong Wang Advances in Mechanical Engineering . 2018,第1期

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4. Fault diagnosis method for power electronic based on wavelet transform and extreme learning machine [C] . Chen Li, Cai Hongjun, Tang Shengxue, International symposium on test automation instrumentation . 2014

机译：基于小波变换和极限学习机的电力电子故障诊断方法
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机译：一种基于极端学习机的混合方法和对库存预测的小波变换
7. Fault Diagnosis of Phase Shifted Full Bridge Converter Based on Wavelet Packet and Extreme Learning Machine Optimized by Firefly Algorithm [O] . Lingzhi Yi, Xuliang Ren, Hexiao Zhu, 2018

机译：基于小波包和萤火虫算法优化的基于小波包和极端学习机的相移全桥转换器故障诊断

Fault diagnosis method for power electronic based on wavelet transform and extreme learning machine

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