A Study of the Equipment Fault Diagnosing Method Based on EMD and Holo-spectrum

A Study of the Equipment Fault Diagnosing Method Based on EMD and Holo-spectrum

We first introduce the empirical mode decomposition （EMD） and holo-spectrum analysis. Then we decompose the vibration signal of the equipment by EMD, re-organize the signal closely associated with the original signal, eliminate the noise signal better, and analyze the holographic re-signal spectrum,...

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Veröffentlicht in:国际设备工程与管理：英文版 2011, Vol.16 (1), p.28-34
1. Verfasser: LIU Ran XU Bao-jie
Format: Artikel
Sprache:eng
Schlagworte:
EMD
信号处理方法
全息谱
振动信号
振动故障诊断
故障诊断方法
经验模式分解
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description We first introduce the empirical mode decomposition （EMD） and holo-spectrum analysis. Then we decompose the vibration signal of the equipment by EMD, re-organize the signal closely associated with the original signal, eliminate the noise signal better, and analyze the holographic re-signal spectrum, which makes the amplitude, frequency and phase combinecompletely, reflecting the equipment vibration morphology fully. Particularly applying a two-dimensional holo-spectrum can obtain the direction of rotation order harmonic, size, shape, and the relation- . ship between order harmonic generation rotor vibrations, and so on. The traditional signal processing methods can not eliminate noise well. We apply this method to the rotor vibration signal of fault diagnosis, eliminate noise and reflect the equipment vibration characteristics well.
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subjects EMD
信号处理方法
全息谱
振动信号
振动故障诊断
故障诊断方法
经验模式分解
title A Study of the Equipment Fault Diagnosing Method Based on EMD and Holo-spectrum
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