Using non-monotonic reasoning to manage uncertainty in railway asset diagnostics

Richard Lewis, Clive Roberts

Research output: Contribution to journalArticle

4 Citations (Scopus)


When a system instantaneous fails there is no time to perform preventative maintenance. In certain circumstances, where the system subsequently recovers without intervention, the system is left to run undiagnosed. Increasing the certainty of a particular diagnosis leads to a greater likelihood of the corrective action being carried out. Therefore, moving to a situation where available symptom and associated condition data is used to diagnose a failure is desirable. This paper proposes the implementation of a distributed network of semantic nodes that supports the inference of asset status. Querying is then performed to produce concrete facts regarding the status of the asset. The facts are used to support non-monotonic, probabilistic reasoning to increase the certainty that a particular symptom is the cause of the instantaneous failure. (C) 2009 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)3616-3623
Number of pages8
JournalExpert Systems with Applications
Issue number5
Publication statusPublished - 21 Oct 2009


  • Description logics
  • Ontology
  • Railway diagnostics
  • Non-monotonic reasoning


Dive into the research topics of 'Using non-monotonic reasoning to manage uncertainty in railway asset diagnostics'. Together they form a unique fingerprint.

Cite this