Skip to main content
padlock icon - secure page this page is secure

Open Access Aircraft health monitoring - towards more electric aircraft

Download Article:
(PDF 302.9 kb)

The ultimate aim of iBearing is to monitor bearings in real-time, with an embedded sensor, in a harsh environment defined by high speed and vibration, exposure to lubricant, and high temperatures. Moreover, the proposed system will apply an advanced data fusion algorithm to predict remaining useful life time, without operator intervention. This will promote enabling technologies for next generation of high speed, high power aircraft starter-generators, allowing early planning of prompt maintenance or part replacement and suppression of preventive maintenance.

The consortium composed by Active Space Technologies, Cranfield University, and The Barden Corporation (UK) Ltd (part of Schaeffler Technologies) have worked with Thales Avionics Electrical Systems to study solutions to achieve the iBearing goal. The selected solutions have been designed, implemented and tested on the Schaeffler test rigs. The future iBearing product will be a miniaturized, integrated device to install in any bearing, requiring minimal adaptations to the shape of new bearings.


The ultimate goal of the iGear (Intelligent Gearbox for Endurance Advanced Rotorcraft) project is the development of on-the-fly Structural Health Monitoring (SHM) for gearboxes. This innovative system will be applied to the lateral rotor gearboxes in the framework of the RACER demonstrator for the Fast Rotorcraft IADP. This will promote enabling technologies for next generation gearboxes comprising new composite or ceramic materials. iGear will assess technologies for health monitoring of gearboxes, by enabling early detection of gear and bearing degradation. The ultimate goal is to allow early planning of prompt maintenance or part replacement. This project inherits significant knowledge and developments made by Active Space Technologies and Cranfield University such as the iBearing results, working with partner Avio Aero.

The combination of measurements of vibration, acoustic emissions, and lubricant oil will be used for the Lateral Rotor Gearboxes. The key innovation is in the use of data fusion across condition indicators (CIs) to increase the robustness of diagnosis. Traceability is important, linking acceptable rule-based diagnosis based on multiple CIs and probability. iGear will enable embedded system health monitoring in future commercial aircraft.
No References for this article.
No Supplementary Data.
No Article Media
No Metrics


Document Type: Research Article

Publication date: August 1, 2018

More about this publication?
  • Impact is a series of high-quality, open access and free to access science reports designed to enable the dissemination of research impact to key stakeholders. Communicating the impact and relevance of research projects across a large number of subjects in a content format that is easily accessible by an academic and stakeholder audience. The publication features content from the world's leading research councils, policy groups, universities and research projects. Impact is published under a CC-BY Creative Commons licence.

  • Subscribe to this Title
  • Terms & Conditions
  • Disseminating research in Impact
  • Information about Impact
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more