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Uncertainty quantification in system-level prognostics: application to Tennessee Eastman process

Tamssaouet, Ferhat and Nguyen, Thi Phuong Khanh and Medjaher, Kamal and Orchard, Marcos E. Uncertainty quantification in system-level prognostics: application to Tennessee Eastman process. (2019) In: The sixth (6th) edition in the series of the International Conference on Control, Decision and Information Technologies - CODIT 2019, 23 April 2019 - 26 April 2019 (Paris, France).

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Abstract

This paper addresses the problem of uncertainty quantification in system-level prognostics. To this purpose, a three-step methodology, based on the inoperability input-output model, is presented. The first step concerns the estimation of the system inoperability, using a new adapted particle filtering method, while considering the interactions between its components. The second step focuses on the long-term prediction of the system inoperability in order to determine its evolution. Finally, in the third step, a method for calculating the remaining useful life of the system, based on the system configuration, is formulated. The proposed methodology is applied on data obtained from the Tennessee Eastman Process simulations to predict the shutdown due to violation of process constraints

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02487080
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Universidad de Chile - UCHILE (CHILE)
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Deposited On:05 Dec 2019 16:20

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