Industrial Fault Diagnosis: Pneumatic Train Door Case Study

N Lehrasab, HPB Dassanayake, Clive Roberts, S Fararooy, Colin Goodman

Research output: Contribution to journalArticle

20 Citations (Scopus)


A practical, robust method of fault detection and diagnosis of a class of pneumatic train door commonly found in rapid transit systems is presented. The methodology followed is intended to be applied within a practical system where computation is distributed across a local data network for economic reasons. The health of the system is ascertained by extracting features from the trajectory profiles of the train door. This is incorporated into a low-level fault detection scheme, which relies upon using simple parity equations. Detailed diagnostics are carried out once a fault has been detected; for this purpose neural network models are utilized. This method of detection and diagnosis is implemented in a distributed architecture resulting in a practical, low-cost industrial solution. It is feasible to integrate the results of the diagnosis process directly into an operator's maintenance information system (MIS), thus producing a proactive maintenance regime.
Original languageEnglish
Pages (from-to)175-183
Number of pages9
JournalProceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
Issue number3
Publication statusPublished - 1 Jan 2002


  • fault diagnosis
  • condition monitoring
  • train doors


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