A Petri net approach to fault verification in phased mission systems using the standard deviation technique
Health management systems are now standard aspects of complex systems. They monitor the behaviour of components and sub-systems and in the event of unexpected system behaviour diagnose faults that have occurred. Although this process should reduce system downtime it is known that health management...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Wiley
2014
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| Online Access: | https://eprints.nottingham.ac.uk/3303/ |
| Summary: | Health management systems are now standard aspects of complex systems. They monitor the behaviour
of components and sub-systems and in the event of unexpected system behaviour diagnose faults that
have occurred. Although this process should reduce system downtime it is known that health management
systems can generate false faults that do not represent the actual state of the system and cause resources to be
wasted. The authors propose a process to address this issue in which Petri nets are used to model complex
systems. Faults reported on the system are simulated in the Petri net model to predict the resultant system
behaviour. This behaviour is then compared to that from the actual system. Using the standard deviation technique
the similarity of the system variables is assessed and the validity of the fault determined. The process has
been automated and is tested through application to an experimental rig representing an aircraft fuel system.
The success of the process to verify genuine faults and identify false faults in a multi-phase mission is demonstrated.
A technique is also presented that is specific to tank leaks where depending on the location and size of
the leak, the resulting symptoms will vary. |
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