2009•Unpublished venueRequires access

Advanced diagnostics and prognostics for engine health monitoring

Ashish Babbar, Vassilis L. Syrmos, Estefan M. Ortiz, Michael M. Arita

Open publisher page 39 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 39 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Prognostics, Aircraft maintenance, Reliability engineering, Maintenance engineering, Condition monitoring, Condition-based maintenance, Fault (geology), Computer science

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