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Wear rate–state interactions within a multi-component system: a study of a gearbox-accelerated life testing platform

Assaf, Roy, Do, Phuc, Nefti-Meziani, Samia and Scarf, Philip 2018. Wear rate–state interactions within a multi-component system: a study of a gearbox-accelerated life testing platform. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232 (4) , pp. 425-434. 10.1177/1748006X18764061

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The degradation process of complex multi-component systems is highly stochastic in nature. A major side effect of this complexity is that components of such systems may have unexpected reduced life and faults and failures that decrease the reliability of multi-component systems in industrial environments. In this work, we provide maintenance practitioners with an explanation of the nature of some of these unpredictable events, namely, the degradation interactions that take place between components. We begin by presenting a general wear model where the degradation process of a component may be dependent on the operating conditions, the component’s own state and the state of the other components. We then present our methodology for extracting accurate health indicators from multi-component systems by means of a time–frequency domain analysis. Finally, we present a multi-component system degradation analysis of experimental data generated by a gearbox-accelerated life testing platform. In doing so, we demonstrate the importance of modelling the interactions between the system components by showing their effect on component lifetime reduction.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: SAGE Publications (UK and US)
ISSN: 1748-006X
Funders: FP7-PEOPLE-2013-ITN #608022
Date of First Compliant Deposit: 7 December 2020
Date of Acceptance: 8 February 2018
Last Modified: 20 Jan 2021 16:20

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