Detection of minute signs of a small fault in a periodic or a quasi-periodic signal by the harmonic wavelet transform

Takumi Inoue, Atsuo Sueoka, Hiroyuki Kanemoto, Satoru Odahara, Yukitaka Murakami

研究成果: Contribution to journalArticle査読

17 被引用数 (Scopus)

抄録

If a machine in operation has a fault, signs of the fault appear in the monitored signal and are usually synchronised with the operating speed. The signs are very small when the fault is at an early stage. The fast Fourier transform (FFT) is often utilised to detect these signs, but it is very difficult to detect minute signs. In this paper, harmonic wavelet transform is utilised to detect the minute signs of small faults in a monitored signal. The monitored signal of a machine element, in ordinary operation, is regarded as periodic or quasi-periodic. It is important for the effectual detection of the minute signs to reduce the obstructive noise and the end effects in the signal. The end effect is a peculiar phenomenon to wavelet transform and hampers effective detection. Useful methods to reduce the obstructive noise and the end effects are devised herein by the authors. Even if no visible information pertaining to a fault appears in the monitored waveform, the present method is able to detect a minute sign of a small fault. It is demonstrated that the present method is capable of detecting minute signs arising from slight collisions caused by a loose coupling and a fatigue crack.

本文言語英語
ページ(範囲)2041-2055
ページ数15
ジャーナルMechanical Systems and Signal Processing
21
5
DOI
出版ステータス出版済み - 7 1 2007

All Science Journal Classification (ASJC) codes

  • 制御およびシステム工学
  • 信号処理
  • 土木構造工学
  • 航空宇宙工学
  • 機械工学
  • コンピュータ サイエンスの応用

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