The Practical Use of Wavelet Transforms and Their Limitations in Machine Fault Diagnosis

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概要

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• Recently, a lot of researches have been conducted in applying Continuous Wavelet Transforms (CWTs) to vibration based machine fault diagnosis. Since CWTs can provide multi-resolution in the time-frequency-amplitude analysis, they are very useful in detecting both periodically and randomly occurred anomalous signals. However, due to the phenomena of coefficient overlapping and energy leakage, the results generated by CWTs are difficult to be interpreted by inexperienced operators. Misinterpretation of results could lead to false alarms or failures to detect anomalous signals. Such negligence may cause fatal breakdowns of machines that interrupt production and services. These deficiencies make CWTs still not popular to be used in vibration based machine fault diagnosis. This paper presents the findings from an investigation on the problem of overlapping and introduces a new algorithm to minimize the problem. Preliminary results show that the new algorithm is effective in reducing the distortion caused by the overlapping and extracting fault related signals. Hence, with the help of this new algorithm, even inexperienced operators can detect the anomalous signals precisely and determine the cause of fault easily.

• 一般社団法人日本機械学会の論文

著者

• Tse Peter

  Smart Asset Management Research Laboratory Meem City University Of Hong Kong

• Yang W.

  Smart Asset management Research Laboratory, MEEM, City University of Hong Kong

関連論文

• The Practical Use of Wavelet Transforms and Their Limitations in Machine Fault Diagnosis

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