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.
Highlights
The prognostics is the process of predicting the end of life (EOL) and/or the remaining useful life (RUL) of components, subsystems or systems
In (Daigle, Bregon, & Roychoudhury, 2012), the authors propose to decompose the physical model of a system into independent sub-models and derive system remaining useful life (SRUL) based on the RUL of components
We propose a new approach based on the inoperability input-output model (IIM) to evaluate SRUL taking into account the mutual interactions between the components and the influence of the environment
Summary
The prognostics is the process of predicting the end of (useful) life (EOL) and/or the remaining useful life (RUL) of components, subsystems or systems. Interactions with the other system’s components and the environment It is not components’ life-times that are important, but rather, the lifetimes of the systems in which these components are located (Daigle, Bregon, & Roychoudhury, 2012). In (Daigle, Bregon, & Roychoudhury, 2012), the authors propose to decompose the physical model of a system into independent sub-models and derive SRUL based on the RUL of components This approach is based on the assumption that the subsystems are independent and cannot be widely used because of the analytic model complexity. We propose a new approach based on the inoperability input-output model (IIM) to evaluate SRUL taking into account the mutual interactions between the components and the influence of the environment.
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