A generic fault detection and diagnosis approach for pneumatic and electric driven railway assets

摘要: The railway assets studied in this project, are those widely distributed pieces of equipment that critical to the dependable operation system. A failed asset is likely cause significant delay rail services, and may even place system into an unsafe state. generic fault detection diagnosis (FDD) solution for a number different types therefore desired. In thesis, five assets, namely pneumatic train door, point machine train-stop, electric electro-hydraulic level crossing barrier, considered as case studies. Based on their common dynamic characteristics, these also known Single Throw Mechanical Equipments (STMEs). FDD method proposed STMEs, which consists sensor inputs pre-processing, processes processes. model, composed series sub-models, constructed describe behaviour each asset. results approaches indicate has good performance generically applicable assets. Two methods using model residual analysis based preliminarily approached. Finally, new three architecture condition monitoring discussed practical applications.