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Manchester Develops Wireless 'Wear And Tear' Sensor

Date:
February 22, 2006
Source:
University of Manchester
Summary:
Scientists at The University of Manchester are to develop a new type of wireless sensor which will be able to remotely monitor mechanical parts and systems. The aim is to produce a sensor which can be seamlessly fitted inside gearboxes, motors, diesel engines, wheel bearings and door mechanisms, in which faults can occur.
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Sensors which are able to predict when mechanical parts in machinery and transport will breakdown before they actually do could be introduced by 2010, slashing maintenance costs across the manufacturing, automotive and plant machinery industries.

Scientists at The University of Manchester are to develop a new type of wireless sensor which will be able to remotely monitor mechanical parts and systems. The aim is to produce a sensor which can be seamlessly fitted inside gearboxes, motors, diesel engines, wheel bearings and door mechanisms, in which faults can occur.

Once fitted, the sensors would enable the 'health' of the parts to be remotely monitored by computers which would then use the data to predict when parts require maintenance or need replacing - before they fail.

Dr Andrew Starr, who will lead the Manchester side of the Europe-wide project, said: "By monitoring the condition of major parts we will be able to predict when they require maintenance and when they need replacing before they fail. This will dramatically reduce the delay and cost caused by impromptu break downs, and we hope it will also lead to a much more efficient service for customers."

He added: "In theory, we could get breakdowns down to zero with this technology."

Manchester will develop a multi-measureand MEMS sensor which will measure a range of selected parameters (e.g. vibration, temperature, pressure) for condition monitoring applications. Another application will be inside lubricated machinery. In this instance, sensors would measure concentrations of metallic elements created through 'wear and tear' from which the life-span of the part could be calculated.

The sensor will be developed as part of a £4.1m initiative funded by the European Union under Framework 6, known as DYNAMITE (Dynamic Decisions in Maintenance), aimed at advancing the capabilities of European industry in the field of e-maintenance and condition monitoring. The project will focus on applications in plant machinery, manufacturing and transport.

The aim of DYNAMITE is to deliver a blend of leading-edge communications and sensor technologies to create a prototype system for the European market. The system is planned for completion in 2008.

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Dr Andrew Starr is a Senior Lecturer in the School of Mechanical, Aerospace & Civil Engineering, which is part of the University of Manchester's Faculty of Engineering and Physical Sciences.

Partners on the DYNAMITE project include: VTT Industrial Systems, Fundación Tekniker, University of Sunderland, The University of Manchester, Université Henri Poincaré, Växjö University, Zenon S.A. Robotics & Informatics, FIAT Research Center, Volvo Technology AB, Goratu Maquinas Herramienta S.A., Wyselec Oy, Martechnic GmbH, Engineering Statistical Solutions Ltd, Diagnostic Solutions Ltd, Prisma Electronics, IB Krates OÜ, Hydrox Pipeline Oy.

DYNAMITE will create an infrastructure for mobile monitoring technology and create new devices which will make major advances in capability for decision systems incorporating sensors and algorithms. The key features include wireless telemetry, intelligent local history in smart tags, and on-line instrumentation.


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Materials provided by University of Manchester. Note: Content may be edited for style and length.


Cite This Page:

University of Manchester. "Manchester Develops Wireless 'Wear And Tear' Sensor." ScienceDaily. ScienceDaily, 22 February 2006. <www.sciencedaily.com/releases/2006/02/060222092320.htm>.
University of Manchester. (2006, February 22). Manchester Develops Wireless 'Wear And Tear' Sensor. ScienceDaily. Retrieved March 28, 2024 from www.sciencedaily.com/releases/2006/02/060222092320.htm
University of Manchester. "Manchester Develops Wireless 'Wear And Tear' Sensor." ScienceDaily. www.sciencedaily.com/releases/2006/02/060222092320.htm (accessed March 28, 2024).

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