ハーモニックウェーブレットによる定常振動波形の異常性検出

Translated title of the contribution: Detection of an Abnormality in Steady-State Vibrations by Using the Harmonic Wavelet

井上 卓見, 金元 啓幸, 末岡 淳男, 小田原 悟, 村上 敬宜

Research output: Contribution to journalArticlepeer-review

Abstract

This paper deals with the fault prediction of machines by detecting local abnormalities of the signal by using the wavelet transform. In this paper, the signal is a steady-state vibration waveform measured by an acceleration pick-up. The harmonic wavelet was used to detect the abnormalities of the signal. Then, it is necessary for applying the harmonic wavelets to remove the end effects and the unacceptable noise for the effective diagnosis. The authors proposed the method to remove the end effects and the noise from the signals by using the usual Fourier transform. The signals were limited to steady state waveforms and the abnormalities of the signals were periodical. As the result, it was made clear that the local abnormalities were able to be detected from the signals due to the slight collisions caused by loose bolt and the fatigue crack generated in the in-line flow-induced vibration.
Translated title of the contributionDetection of an Abnormality in Steady-State Vibrations by Using the Harmonic Wavelet
Original languageJapanese
Pages (from-to)2147-2154
Number of pages8
JournalNippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume71
Issue number707
DOIs
Publication statusPublished - 2005

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