An application of the modulus maxima distribution in machinery condition monitoring

Qiang Miao (Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada)
Viliam Makis (Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada)

Journal of Quality in Maintenance Engineering

ISSN: 1355-2511

Publication date: 1 December 2005

Abstract

Purpose

To investigate wavelet modulus maxima distribution (MMD) in machinery condition monitoring and extract a parameter that can give a quantitative description of machinery‐operating status.

Design/methodology/approach

Signal decomposition technique is applied to extract gear motion signal and then wavelet transform modulus maxima are utilized to define fault growth parameter (FGP).

Findings

MMD were proposed and the distribution used to derive an EWMA statistic representing machinery fault growth. A comparison with other research works indicates better performance of this parameter.

Practical implications

This paper presents an innovative scheme for the machinery condition monitoring, on the basis of wavelet modulus maxima representation. The definition of MMD can be utilized to derive a parameter that describes the operating status of machinery. This parameter is load‐independent so that it demonstrates better performance when compared with other research works. Further, the MMD may be treated as input of condition classification system in the future work.

Originality/value

The idea for this paper stems from wavelet modulus maxima representation, whilst the application in vibration signal analysis is new. It was found that, by applying this approach, the occurrence of failure is correctly identified and the proposed EWMA FGP is independent of the load applied, which is a very important property in machinery condition monitoring and fault detection.

Keywords

Citation

Miao, Q. and Makis, V. (2005), "An application of the modulus maxima distribution in machinery condition monitoring", Journal of Quality in Maintenance Engineering, Vol. 11 No. 4, pp. 375-387. https://doi.org/10.1108/13552510510626990

Download as .RIS

Publisher

:

Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.