System-level Prognostics Based on Inoperability Input-output Model

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Published Sep 24, 2018
Ferhat Tamssaouet Thi Phuong Khanh Nguyen
Kamal Medjaher

Abstract

Nowadays, the modern industry is increasingly demanding the availability and reliability of production systems as well as the reduction of maintenance costs. The techniques to achieving these goals are recognized and discussed under the term of Prognostics and Health Management (PHM). However, the prognostics is often approached from a component point of view. The system-level prognostics (SLP), taking into account interdependencies and multi-interactions between system components, is still an underexplored area. Inspired from the inoperability input-output model (IIM), a new approach for SLP is proposed in this paper. The inoperability corresponds to the component’s degradation, i.e. the reduction of its performance in comparison to an ideal reference state. The interactions between component degradation and the effect of the environment are included when estimating the inoperability of components and also when predicting the system remaining useful life (SRUL). This approach can be applied to complex systems involving multi-heterogeneous components with a reasonable computational effort. Thus, it allows overcoming the lack of scope and scalability of the traditional approaches used in PHM. An illustrative example is presented and discussed in the paper to highlight the performance of the proposed approach.

How to Cite

Tamssaouet, F., Nguyen, T. P. K., & Medjaher, K. (2018). System-level Prognostics Based on Inoperability Input-output Model. Annual Conference of the PHM Society, 10(1). https://doi.org/10.36001/phmconf.2018.v10i1.487
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Keywords

System-Level Prognostics ;, Inoperability Input-Output Model ;, Model-Based Prognostics ;

Section
Technical Papers