Advanced diagnostics and prognostics for engine health monitoring
Ashish Babbar, Vassilis L. Syrmos, Estefan M. Ortiz, Michael M. Arita
Abstract
Ashish Babbar, Vassilis L. Syrmos, Estefan M. Ortiz, Michael M. Arita
Abstract
Modern military and commercial aircraft require advanced diagnostic and prognostic schemes to determine engine performance in order to reduce operational and maintenance costs and improve aircraft down time. Condition Based Maintenance (CBM) can be performed on an aircraft when a fault/failure is detected. However, to streamline maintenance procedures and avoid unnecessary delays the engineers and maintainers need current and best estimates of engine performance and health before upcoming flights.
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Modern military and commercial aircraft require advanced diagnostic and prognostic schemes to determine engine performance in order to reduce operational and maintenance costs and improve aircraft down time. Condition Based Maintenance (CBM) can be performed on an aircraft when a fault/failure is detected. However, to streamline maintenance procedures and avoid unnecessary delays the engineers and maintainers need current and best estimates of engine performance and health before upcoming flights.
Key concepts: Prognostics, Aircraft maintenance, Reliability engineering, Maintenance engineering, Condition monitoring, Condition-based maintenance, Fault (geology), Computer science