Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning

Remaining useful life (RUL) estimations obtained from a prognostics and health monitoring (PHM) system can be used to plan in advance for the repair of components before a failure occurs. However, when system architecture is not taken into account, the use of PHM information may lead the operator to...

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Bibliographic Details
Published in:IEEE systems journal 2015-12, Vol.9 (4), p.1197-1207
Main Authors: Rodrigues, Leonardo R., Gomes, Joao P. P., Ferri, Felipe A. S., Medeiros, Ivo P., Galvao, Roberto K. H., Nascimento Junior, Cairo L.
Format: Article
Language:English
Subjects:
Aircraft
Condition monitoring
failure analysis
Fault trees
maintenance
Maintenance engineering
Optimization
planning
Probability
Prognostics and health management
prognostics and health management (PHM)
Repair & maintenance
Safety
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Summary:Remaining useful life (RUL) estimations obtained from a prognostics and health monitoring (PHM) system can be used to plan in advance for the repair of components before a failure occurs. However, when system architecture is not taken into account, the use of PHM information may lead the operator to rush to replace a component that would not affect immediately the operation of the system under consideration. This paper presents a methodology for decision support in maintenance planning with application in aeronautical systems. The proposed methodology combines system architecture information and RUL estimations for all components in the system under study, allowing the estimation of an overall system-level RUL (S-RUL). The S-RUL information can be used to support maintenance decisions regarding the replacement of multiple components. For this purpose, the decision problem can be cast into an optimization framework involving the minimization of the component replacement cost under a safety constraint. Two case studies are used to illustrate the S-RUL concept, as well as the proposed optimization methodology.
ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2014.2343752