Abstract
Integrated Vehicle Health Management (IVHM) describes a set of capabilities that enable effective and efficient maintenance and operation of the target vehicle. It accounts for the collecting of data, conducting analysis, and supporting the decision-making process for sustainment and operation. The design of IVHM systems endeavours to account for all causes of failure in a disciplined, systems engineering, manner. With industry striving to reduce through-life cost, IVHM is a powerful tool to give forewarning of impending failure and hence control over the outcome. Benefits have been realised from this approach across a number of different sectors but, hindering our ability to realise further benefit from this maturing technology, is the fact that IVHM is still treated as added on to the design of the asset, rather than being a sub-system in its own right, fully integrated with the asset design. The elevation and integration of IVHM in this way will enable architectures to be chosen that accommodate health ready sub-systems from the supply chain and design trade-offs to be made, to name but two major benefits. Barriers to IVHM being integrated with the asset design are examined in this paper. The paper presents progress in overcoming them, and suggests potential solutions for those that remain. It addresses the IVHM system design from a systems engineering perspective and the integration with the asset design will be described within an industrial design process.
Highlights
We identified four different links that had to be strengthened within this phase of the requirements capture process: the link between the Asset Function requirements and the Integrated Vehicle Health Management (IVHM) function requirements; the link between the Asset Performance requirements and the IVHM function requirement; the link between the Asset Function requirements and the IVHM Performance requirements; and the link between the Asset performance and the IVHM Function requirements
Within the integrated asset and IVHM design process, the IVHM detailed design phase will employ two distinct steps: the quantitative engineering analysis carried out to establish the ground truth information related to system degradation and the qualitative functional analysis performed for the identification and optimisation of IVHM sensor set solutions capable of detecting and isolating failure modes captured within the analysis (Stecki et al, 2014)
If IVHM systems are to become more comprehensive their design must become an integral part of the development process of the asset they monitor
Summary
Present and future condition of a vehicle, to systematically address all likely causes of failure It uses a vehicle’s sensor data to detect faults in components and subsystems (i.e. diagnostics), or to predict the remaining useful life (i.e. prognostics), in order to assist maintainers and operators. This results in optimized maintenance actions, improved readiness and availability, reduced redundancies, extended product life and improved vehicle safety. INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT solution which is typically achieved by following a systems engineering development process This considers the complete lifecycle of the asset including the business case, architecture, design, verification, and validation (Figure 1) While the word vehicle will be used generically throughout this paper, most of what is written has an aerospace and aircraft bias but is applicable to other vehicle types
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