Title :
Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning
Author :
Rodrigues, Leonardo R. ; Gomes, Joao P. P. ; Ferri, Felipe A. S. ; Medeiros, Ivo P. ; Galvao, Roberto K. H. ; Nascimento Junior, Cairo L.
Author_Institution :
Technol. Dev. Dept., Embraer SA, São Jos dos Campos, Brazil
Abstract :
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.
Keywords :
aircraft maintenance; condition monitoring; decision making; decision support systems; failure analysis; minimisation; remaining life assessment; PHM information architecture; PHM system architecture; RUL estimations; aeronautical systems; decision support methodology; maintenance decisions; maintenance planning; optimization framework; optimized aircraft maintenance planning; prognostics and health monitoring system; remaining useful life estimations; system architecture information; system-level RUL; Aircraft; Fault trees; Maintenance engineering; Optimization; Probability; Prognostics and health management; Safety; Condition monitoring; failure analysis; maintenance; planning; prognostics and health management (PHM);
Journal_Title :
Systems Journal, IEEE
DOI :
10.1109/JSYST.2014.2343752