离散小波变换色散场分析在异步电动机定子匝间故障检测中的应用

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI:10.1109/DEMPED.2017.8062341

H. Cherif, A. Menacer, R. Romary, R. Pusca

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引用次数: 20

摘要

本文提出了一种通过测量感应电动机外磁场来检测匝间短路的方法。分析技术是基于机器在启动和静止状态下的瞬态能量的离散小波变换。小波可以很好地分析一维和二维信号。通过多级离散小波分解，可以提取出机器在变状态下的故障预测信息。与仅分析外磁场相比，每次分解中存储能量的计算可以评估故障的严重程度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dispersion field analysis using discrete wavelet transform for inter-turn stator fault detection in induction motors

This paper presents an inter-turn short circuit detection through the measurement of external magnetic field of induction motor. The technique of analysis is based on discrete wavelet transform energy in transient state where the machine operates at start-up and standstill states. The wavelet offers a very fine analysis of the unidimensional and two-dimensional signals. Through multilevel discrete wavelet decomposition, it is possible to extract the information for the prognosis of the fault in variable state of the machine. The stored energy calculation in each decomposition can evaluate the severity of the fault compared with the analysis of only the external magnetic field.

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2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)

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