感应电动机状态监测用振动信号处理

First International Symposium on Control, Communications and Signal Processing, 2004. Pub Date : 2004-09-27 DOI:10.1109/ISCCSP.2004.1296338

S. Poyhonen, P. Jover, H. Hyotyniemi

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引用次数: 60

摘要

研究了振动监测在异步电动机故障诊断中的应用。比较了振动信号的几种特征作为35kw异步电动机转子断条的指标。将基于规则快速傅立叶变换(FFT)的功率谱密度(PSD)估计与高阶谱(HOS)信号处理、倒谱分析和自回归(AR)建模的信号描述进行了比较。采用基于支持向量机(SVM)的分类方法进行故障检测程序和特征比较。最好的特征提取方法似乎是应用AR系数。通过对几种电机工况和负载情况的实测数据进行验证。

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Signal processing of vibrations for condition monitoring of an induction motor

Vibration monitoring is studied for fault diagnostics of an induction motor. Several features of vibration signals are compared as indicators of broken rotor bar of a 35 kW induction motor. Regular fast Fourier transform (FFT) based power spectrum density (PSD) estimation is compared to signal processing with higher order spectra (HOS), cepstrum analysis and signal description with autoregressive (AR) modelling. The fault detection routine and feature comparison is carried out with support vector machine (SVM) based classification. The best method for feature extraction seems to be the application of AR coefficients. The result is found out with real measurement data from several motor conditions and load situations.

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First International Symposium on Control, Communications and Signal Processing, 2004.

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