Detection of an abnormality in steady-state vibrations by using the harmonic wavelet

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

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)2147-2154
Number of pages8
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume71
Issue number7
Publication statusPublished - Jul 1 2005

Fingerprint

Bolts
Wavelet transforms
Fourier transforms
Fatigue cracks

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

Detection of an abnormality in steady-state vibrations by using the harmonic wavelet. / Inoue, Takumi; Kanemoto, Hiroyuki; Sueoka, Atsuo; Odahara, Satoru; Murakami, Yukitaka.

In: Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Vol. 71, No. 7, 01.07.2005, p. 2147-2154.

Research output: Contribution to journalArticle

@article{970f6b7632584a1383c334f329ffd56c,
title = "Detection of an abnormality in steady-state vibrations by using the harmonic wavelet",
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.",
author = "Takumi Inoue and Hiroyuki Kanemoto and Atsuo Sueoka and Satoru Odahara and Yukitaka Murakami",
year = "2005",
month = "7",
day = "1",
language = "English",
volume = "71",
pages = "2147--2154",
journal = "Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C",
issn = "0387-5024",
publisher = "The Japan Society of Mechanical Engineers",
number = "7",

}

TY - JOUR

T1 - Detection of an abnormality in steady-state vibrations by using the harmonic wavelet

AU - Inoue, Takumi

AU - Kanemoto, Hiroyuki

AU - Sueoka, Atsuo

AU - Odahara, Satoru

AU - Murakami, Yukitaka

PY - 2005/7/1

Y1 - 2005/7/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=25144506968&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=25144506968&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:25144506968

VL - 71

SP - 2147

EP - 2154

JO - Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

JF - Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

SN - 0387-5024

IS - 7

ER -