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Integrated Vehicle Health Management Centre (IVHM)
Integrated Vehicle Health Management (IVHM) is the transformation of system data on a complex vehicle or system (such as a luxury car or a commercial airplane) into information to support operational decisions and optimise maintenance. IVHM is a capability, comprising a number of technologies that can be used across a number of sectors for business benefit.
IVHM is becoming increasingly important as OEMs (Original Equipment Manufacturers) move from the traditional sale of a product, in which future income is dependent on spare part revenue, to selling a service in which steady monthly income can be derived in return for the effective maintenance of the asset. IVHM enables this transformation.
The IVHM Centre delivers generic IVHM solutions from our research. We support 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.
The IVHM Centre can work with industry to help solve complex issues either through collaborative research projects or through direct consultation.
All research/consultancy work undertaken is subject to Non-Disclosure Agreements (NDAs) in order to protect intellectual property (IP) of the company involved.
We have expertise in the following areas:
- Commercial rationale: business case and business modelling
- Diagnostics and prognostics
- Instrumentation and signal processing
- IVHM design system
The Centre delivers an IVHM short course yearly and contributes to MSc modules such as Diagnostics and Prognostics, and Instrumentation and Signal Processing. It has also acted as the focal point and editor for three SAE books on IVHM and an SAE webcast.
We have several facilities available including:
- UAV fuel rig with 5 degradation faults
- Machine Fault Simulator, for rotating machinery faults
- Environmental Chamber
- Fibre-optic strain gauging (SME demo)
- Offset gear rig
- Helicopter rotor balance rig.
McAndrew AR, Colegrove PA, Addison AC, Flipo BCD & Russell MJ (2015) Modelling the influence of the process inputs on the removal of surface contaminants from Ti-6Al-4V linear friction welds, Materials & Design, 66 (A) 183-195.
Eker OF, Skaf Z, Camci F & Jennions IK (2014) State-Based Prognostics with State Duration Information of Cracks in Structures, Procedia CIRP, 22 122-126.
Ahmad WS, Perinpanayagam S, Jennions I & Khan S (2014)
Study on Intermittent Faults and Electrical Continuity. In: 3rd International Conference in Through-life Engineering Services, TESConf 2014, Cranfield, 4.11.2014 - 5.11.2014.
Niculita O, Skaf Z & Jennions IK (2014)
The Application of Bayesian Change Point Detection in UAV Fuel Systems. In: 3rd International Conference in Through-life Engineering Services, TESConf 2014, Cranfield, 4.11.2014 - 5.11.2014.
Mcandrew AR, Colegrove PA, Addison AC, Flipo BCD & Russell MJ (2014) Energy and Force Analysis of Ti-6Al-4V Linear Friction Welds for Computational Modeling Input and Validation Data, Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 45 (13) 6118-6128.
Esperon-Miguez M, Jennions I & John P (2014) Implementing IVHM on Legacy Aircraft: Progress Towards Identifying an Optimal Combination of Technologies. In: Engineering Asset Management - Systems, Professional Practices and Certification. Tse PW, Mathew J, Wong K, Lam R, Ko CN (ed.), Cham: Springer, p. 799-812.
Jennions IK (2014) Integrated Vehicle Health Management: Implementation and Lessons Learnt.
Esperon-Miguez M (2014) Enhancing Integrated Vehicle Health Management Through the Use of Additive Manufacturing, RTejournal - Forum für Rapid Technologie, 2014 (1).
Walker RB, Vayanat R, Perinpanayagam S & Jennions IK (2014) Unbalance localization through machine nonlinearities using an artificial neural network approach, Mechanism and Machine Theory, 75 54-66.
Khan S, Phillips P, Hockley C & Jennions I (2014) No Fault Found Events in Maintenance Engineering Part 2: Root Causes, Technical Developments and Future Research, Reliability Engineering & System Safety, 123 196-208.
Cranfield University wins funding to build a redistributed manufacturing network
25 March 2015
Cranfield is part of a bigger partnership network which is known as RECODE - The Big Data, Consumer Goods and redistributed manufacturing network.More