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

Research output: Contribution to journalArticle


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.


Original languageEnglish
Pages (from-to)271-278
Number of pages8
JournalProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
Issue number4
Publication statusPublished - 1 Dec 2009


  • fault diagnosis, parameter estimation, condition monitoring, predictive maintenance, fault detection