Engineers from the University of Sheffield have developed a novel technique to predict when bearings inside wind turbines will fail.
A method, published in the journal Proceedings of the Royal Society and developed by Mechanical Engineering research student Wenqu Chen, uses ultrasonic waves to measure the load transmitted through a ball bearing in a wind turbine. The stress on wind turbine is recorded which lets engineers forecast its remaining service life.
When a bearing is subject to a load, its thickness is reduced by a small amount due to elastic deformation, which also affects the speed of sound by the stress level in the material. Both these effects change the travel time of an ultrasound wave through a bearing.
Researchers say the method is the only way to directly measure the transmitted load through rolling bearing components. The device uses a custom-built piezoelectric sensor mounted in the bearing to measure the time of flight and determine the load. The sensor is less expensive and significantly smaller than others currently available, making it suitable for smaller turbines. It can also provide a better prediction of the maintenance needed.
Professor Rob Dwyer-Joyce, co-author of the paper and Director of the Leonardo Centre for Tribology at the University of Sheffield says: “This technique can be used to prevent unexpected bearing failures, which are a common problem in wind turbines. By removing the risk of a loss of production and the need for unplanned maintenance, it can help to reduce the cost of wind energy and make it much more economically competitive.
The new technology has been validated in the lab and is currently being tested at the Barnesmore wind farm in Donegal, Ireland by the company Ricardo.
University of Sheffield