Integrated vehicle health management (IVHM) is a collection of data relevant to the present and future performance of a vehicle system and its transformation into information can be used to support operational decisions. This design and operation concept embraces an integration of sensors, communication technologies, and artificial intelligence to provide vehicle-wide abilities to diagnose problems and recommend solutions. This article aims to report the state-of-the-art of IVHM research by presenting a systematic review of the literature. The literature from different sources is collated and analysed, and the major emerging themes are presented. On this basis, the article describes the IVHM concept and its evolution, discusses configurations and existing applications along with main drivers, potential benefits and barriers to adoption, summarizes design guidelines and available methods, and identifies future research challenges.

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State-of-the-art in integrated vehicle health management

A review of Integrated Vehicle Health Management tools for legacy platforms: Challenges and opportunities

Finding Faults: A Scoping Study of Fault Diagnostics for Industrial Cyber-physical Systems

Distributed embedded condition monitoring systems based on OSA-CBM standard

Integrated vehicle health management is a major component in a new, future fleet-management paradigm where a conscious effort is made to shift aircraft maintenance from a schedule-based approach to a more proactive and predictive approach (that is, condition-based maintenance). Its goal is to maximize fleet operational availability while minimizing the logistics footprint through monitoring of the deterioration of equipment conditions. A comprehensive integrated vehicle health-management system will be executed in an environment that includes different sensor technologies, multiple information systems, and different data models. Integrated vehicle healthmanagement implementers have to therefore deal with an integration problem that involves different specialized algorithms and embedded hardware platforms. Integrated vehicle health management applications will have common execution logic, and many will share the same data-processing algorithms; hence, development productivity and the quality of integrated ...

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Software Framework for Prototyping Embedded Integrated Vehicle Health Management Applications

As the cost and complexity of components and systems increases, more reliance is placed on IVHM systems to extend functional life and to allow repairs to maximize affordability. Successful deployment of Integrated Vehicle Health Management capabilities depends on a sound business case. From the Boeing viewpoint as a systems integrator, a major deployment obstacle is the integration of health technology into the platform avionics. Deploying effective, affordable and supportable health management systems for new or legacy aircraft must leverage the system and subsystem suppliers as well as the systems integrator. To better facilitate this integration, Boeing's Phantom Works is defining the requirements and architecture to embed 'health ready' systems and subsystems in new and legacy products. The term health ready implies an involvement and contribution by the suppliers and partners to design and build in the features needed at the system or subsystem level to achieve an overall cost effective Integrated Vehicle Health Management (IVHM) solution. This paper addresses the issues related to embedding and enabling IVHM within subsystem/system and within the overall platform avionics architecture. This includes the life cycle support of the IVHM system as well as the initial implementation. This paper describes an environment to achieve these goals and its use as a resource for Boeing and its suppliers in defining the requirements and architecture for embedding health ready systems/ subsystems in new and legacy products.

K. Keller

Papers

Health ready systems