MULTI FAULT CONDITION MONITORING OF MECHANICAL SYSTEMS IN OPERATION

Czeslaw Cempel

Abstract

The paper presents the introductory results in application to multi fault condition monitoring of mechanical systems in operation, in particular internal combustion engines. This generalization to multi dimensionality and multi fault condition monitoring is possible by utilizing transformed symptom observation matrix, and by successive application of singular value decomposition (SVD). On this basis one can make full extraction of fault related information from symptom observation matrix created by traditional monitoring technology. Moreover, by SVD we can create several independent fault measures and indices, and some combined measures of overall system condition. In another words, full utilization of SVD enable us to pass from multi dimensional - non orthogonal symptom space, to orthogonal generalized fault space, of much reduced dimension. This seems to be important, as it can increase the scope and the reliability of condition monitoring of critical system in operation. It enables also to maximize the amount of condition related information, and/or to minimize redundancy in the primary symptom observation matrix, and the same, to redesign the traditional condition monitoring system.

Keywords

machine condition monitoring, vibration, faults, singular value decomposition

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PWC-2003-TC10-004.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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