時頻分析於振動信號之故障診斷

The Fault Diagnosis of Vibration Signal in Time-Frequency Analysis

鍾宇濤(Yu-Tow Chung)

指導教授 ： ARRAY(0xc88fb50)

中原大學/工學院/機械工程研究所/碩士(2009年)

https://doi.org/10.6840/CYCU.2009.00883

摘要

本文主要以短時傅立葉(Short-Time Fourier Transform)及階次跟蹤(Order Tracking)等分析方法，對旋轉機械所產生之變轉速信號進行分析。利用時間和頻率或是轉速與階次的關係來表示信號，同時描述信號在不同時間及頻率下的能量密度，可展現振動信號在各個頻率(階次)隨時間(轉速)變化的情形，結合弗德卡爾曼濾波(Vold-Kalman Filter)及自適應濾波(Auto Regressive Exogenous)等時域濾波方法，可提高譜圖的分辨度及診斷的正確性。

關鍵字

短時傅立葉 ； 時頻分析 ； 故障診斷 ； 弗德卡爾曼濾波 ； 階次跟蹤 ； 自適應濾波

並列摘要

This paper use the Short-Time Fourier Transform and Order Tracking analysis method to analyze speed change signal by revolve machine to produce. Use time-frequency or angular velocity-order relationship to show signal and describe different power density in the meantime case, can show vibration signal at any frequency (order) with time(angular velocity) situation change, combine Vold-Kalman Filter and Auto Regressive Exogenous method can promote spectrum differentiate and diagnosis exactitude.

並列關鍵字

Vold-Kalman Filter ； Auto Regressive Exogenous ； Order Tracking ； Short-Time Fourier Transform ； Fault Diagnosis ； Time-Frequency Analysis

參考文獻

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