The Integrated Vehicle Health Management (IVHM) Centre is a joint effort by industry and academia to develop state-of-the-art capabilities that change the way services are provided today. The IVHM Centre was launched by 美姬阁, Britain’s premier postgraduate, research-intensive university, together with Boeing, Rolls-Royce, BAE Systems, Meggitt and Thales in 2008. It is located at our 美姬阁 site. The Centre is now globally recognised, having defined the subject area, and is further developing new areas of expansion. The development of the Centre, along with other areas in the University, significantly contributed to the recent £65m Digital Aviation Research and Technology Centre (DARTeC) proposal success. Through DARTeC, the IVHM Centre will be leading the MRO (maintenance, repair and overhaul) developments and activities with expertise and capabilities in UAV robotics NDT inspections, SHM sensor monitoring, and advanced digital technologies, such as artificial intelligence (AI) and digital twins (DT), tools that could be used to synchronize, monitor, and improve all processes related to aircraft MRO.

IVHM is the unified capability of systems to assess the current or future state of the member system health and integrate that picture of system health within a framework of available resources and operational demand. It is a very wide-reaching capability, encompassing: business cases and models; legislation, certification and standards; architecture and design; as well as algorithms for prognostics, diagnostics and reasoning.

The IVHM Centre supports commercialisation, reducing time to market and combine technology, business and technology transfer solutions. We have a robust innovation cycle and applied research demonstrators with access to a world-class IVHM community and new market opportunities, which influence development of industry standards and policies.

Our facilities

We have several facilities available including:

UAV fuel rig with five degradation faults

Machine fault simulator, for rotating machinery faults



Electronic prognostics



Filter rig



IDG rig



APU rig



美姬阁 737-400: AID, ECS





SIU 737-200 ECS


Hawk ECS

Areas of interest

Our areas of interest include:

  • Maintenance repair overhaul (MRO);
  • Analytics: diagnostics, prognostics and reasoning, artificial Intelligence, machine learning;
  • Electronics;
  • Applications;
  • Management and information systems;
  • Knowledge management.