Use of parameter estimation for the detection and diagnosis of faults on electric train door systems
Research output: Contribution to journal › Article
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.
|Number of pages||8|
|Journal||Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability|
|Publication status||Published - 1 Dec 2009|
- fault diagnosis, parameter estimation, condition monitoring, predictive maintenance, fault detection