結合Hilbert-Huang轉換及階次跟蹤之故障診斷方法

Combine Hilbert-Huang Transform and Order Tracking Analysis in Fault Diagnosis

林忠賢(Jhong-Sian Lin)

指導教授 ： 康淵 ； 張永鵬

中原大學/工學院/機械工程研究所/碩士(2010年)

https://doi.org/10.6840/cycu201001030

摘要

本文針對行星齒輪減速機進行故障分析之探討，由於齒輪升降速階段是一種非平穩過程，無法符合傅立葉轉換對信號的平穩性要求，因此，不能用常規的頻譜分析方法進行分析處理，於是本文使用基於Hilbert-Huang轉換的階次跟蹤方法來對非平穩信號進行分析。首先對振動信號進行經驗模態分解得到信號的固有模態函數，再求各個固有模態函數Hilbert轉換，得到信號的瞬時頻率，進而求得脈衝信號對應到振動信號之再採樣時間，根據此再採樣時間對原始信號進行等角度重採樣，最後對重採樣信號進行階次跟蹤分析。模擬信號與實例分析驗證了該方法的正確性與可靠性。

關鍵字

故障診斷 ； 階次跟蹤 ； 瞬時頻率 ； Hilbert-Huang 轉換 ； 經驗模態分解

並列摘要

The paper applies the planet gear deceleration machine for fault diagnosis analysis of study, Because of the gear rises to change down the stage is one kind of unsteady process, is unable to conform to Fourier to transform to the signal stable request, therefore, cannot use conventional the spectral analysis method to carry on the analysis processing, so this use of order tracking based on Hilbert-Huang transform method to analyze unsteady signal. At first carries on the experience modality decomposition to the vibration signal to obtain the signal inherent modality function, Then obtained for each intrinsic mode function of the
received signal after Hilbert transform instantaneous frequency, and then obtains the signal impulse to correspond the vibration signal the resampled time, according to this resampled time to the original signal carries on resampled in angle-domain, finally using order tracking to analyze resampling signal. The simulated signal and the example analysis has confirmed this method accuracy and the reliability.

並列關鍵字

Fault diagnosis ； Instantaneous Frequency ； Empirical Mode Decomposition ； Hilbert-Huang Transform ； Order Tracking

參考文獻

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