Use of parameter estimation for the detection and diagnosis of faults on electric train door systems

H Dassanayake, C Roberts, C J Goodman and A M Tobias

Journal of Risk and Reliability, 2009, vol. 223, issue 4, 271-278

Abstract: The results of tests on a new class of closed-loop electric train door were used to construct a mathematical model that could form the basis of a fast-response condition monitoring system. Faults are detected by identifying variations in selected mechanical and electrical hardware characteristics, these being evaluated through parameter estimation. The main obstacle is signal noise, but this can be overcome with linear integral pre-filtering.

Keywords: fault detection; fault diagnosis; condition monitoring; predictive maintenance; parameter estimation (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:223:y:2009:i:4:p:271-278

DOI: 10.1243/1748006XJRR265

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