Post-prognostics decision making in distributed MEMS-based systems

Haithem Skima (), Christophe Varnier (), Eugen Dedu (), Kamal Medjaher () and Julien Bourgeois ()
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Haithem Skima: Institut FEMT-ST UMR 6174, ENS2M, CNRS, Univ. Bourgogne Franche-Comté
Christophe Varnier: Institut FEMT-ST UMR 6174, ENS2M, CNRS, Univ. Bourgogne Franche-Comté
Eugen Dedu: Institut FEMT-ST UMR 6174, ENS2M, CNRS, Univ. Bourgogne Franche-Comté
Kamal Medjaher: INP-ENIT
Julien Bourgeois: Institut FEMT-ST UMR 6174, ENS2M, CNRS, Univ. Bourgogne Franche-Comté

Journal of Intelligent Manufacturing, 2019, vol. 30, issue 3, No 11, 1125-1136

Abstract: Abstract In this paper, the problem of using prognostics information of micro-electro-mechanical systems (MEMS) for post-prognostics decision in distributed MEMS-based systems is addressed. A strategy of post-prognostics decision is proposed and then implemented in a distributed MEMS-based conveying surface. The surface is designed to convey fragile and tiny micro-objects. The purpose is to use the prognostics results of the used MEMS in the form of remaining useful life to maintain as long as possible a good performance of the conveying surface. For that, a distributed algorithm for distributed decision making in dynamic conditions is proposed. In addition, a simulator to simulate the decision in the targeted system is developed. Simulation results show the importance of the post-prognostics decision to optimize the utilization of the system and improve its performance.

Keywords: Prognostics and health management; Micro-electro-mechanical systems; Post-prognostics decision; Distributed systems (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10845-017-1312-8

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