Explainable Data-Driven Method Combined with Bayesian Filtering for Remaining Useful Lifetime Prediction of Aircraft Engines Using NASA CMAPSS Datasets

An aircraft engine is expected to have a high-reliability system as a safety-critical asset. A scheduled maintenance strategy based on statistical calculation has been employed as the current practice to achieve the reliability requirement. Any improvement to this maintenance interval is made after...

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Bibliographic Details
Published in:	Machines (Basel) Vol. 11; no. 2; p. 163
Main Authors:	Maulana, Faisal, Starr, Andrew, Ompusunggu, Agusmian Partogi
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-01-2023
Subjects:	Aeronautics Aircraft engines Aircraft industry Airlines Airplane engines Algorithms Analysis Artificial intelligence Aviation Component reliability condition monitoring Data recording Datasets Failure analysis Flight data recorders Kalman filters Life prediction Maintenance Maintenance management Methods Neural networks Preventive maintenance prognostics system Reliability analysis Root-mean-square errors Safety critical Sensors Simulation methods Software Statistical analysis Uncertainty uncertainty quantification Useful life
Online Access:	Get full text
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