KAGAKU KOGAKU RONBUNSHU
Online ISSN : 1349-9203
Print ISSN : 0386-216X
ISSN-L : 0386-216X
A Study of Fault Detection in a Pump by Signal Analysis
YOSHITOMO HANAKUMAJUNZOU YAMAMOTO
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JOURNAL FREE ACCESS

1999 Volume 25 Issue 6 Pages 1033-1036

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Abstract

The performance of signal analysis for fault detection in a pump is examined in this study. Eight types of signal analysis ; power spectrum, absolute magnitude, phase spectrum, cepstrum, auto-correlation, histrum, atractor and wavelet method are used in this study. The actual result indicates that power spectrum, absolute magnitude, auto-correlation, atractor and wavelet method are effective for fault detection in this pump.

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© by THE SOCIETY OF CHEMICAL ENGINEERS, JAPAN
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