Determining the residual life time of systems is a determinant factor for machinery and environment safety. In this paper the problem of estimate the residual useful life (RUL) of turbo-fan engines is addressed. The adopted approach is especially suitable for situations in which a large amount of data is available offline, by allowing the processing of such data for the determination of RUL. The procedure allows to calculate the RUL through the following steps: features extraction by Artificial Neural Networks (ANN) and determination of remaining life time by-prediction models based on a Hidden Markov Model (HMM). Simulations confirm the effectiveness of the proposed approach and the promising power of Bayesian methods.
- Design Engineering Division and Computers and Information in Engineering Division
Hidden Markov Model for Health Estimation and Prognosis of Turbofan Engines
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Giantomassi, A, Ferracuti, F, Benini, A, Ippoliti, G, Longhi, S, & Petrucci, A. "Hidden Markov Model for Health Estimation and Prognosis of Turbofan Engines." Proceedings of the ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3: 2011 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications, Parts A and B. Washington, DC, USA. August 28–31, 2011. pp. 681-689. ASME. https://doi.org/10.1115/DETC2011-48174
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