Robotics & Autonomous Systems

Find out more about our robotics and autonomous systems testing and validation facilities.

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Electrical Infrastructure Research Hub

The Catapult has appointed the University of Strathclyde and the University of Manchester to form the Electrical Infrastructure Research Hub.

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Automation & Engineering Solutions

Find out more about our work in robotics, autonomous systems and artificial intelligence.

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Stay Current

Dig deeper into the biggest issues facing offshore wind, wave and tidal energy with our series of Analysis & Insight papers.

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Live Innovation Opportunities

There are a number of programmes identifying the key technology innovation challenges faced by the offshore renewables industry. Solving these challenges will help drive down the cost of offshore renewable energy, with positive effects for the industry and UK economy. Visit our Live Innovation Opportunities page to find out if your technology has the answer.

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Designed, finessed, and fine-tuned to the most minute detail, today’s offshore wind turbines are monumental feats of engineering. But the smallest crack or defect in a generator’s drivetrain can have catastrophic consequences – especially offshore, where repairs are even more difficult, risky, and costly than on land.

Fri 20 Jul 2018
Last Updated
Mon 20 Aug 2018

The answer to this is monitoring and planned maintenance: spotting indicators of faults, and stopping them before they happen, has become a key battleground in enhancing the efficiency and availability of offshore wind farms.

As with all large-scale rotating systems, monitoring the health of the drive shaft can be challenging. Traditional methods have relied on vibration sensors, which measure the frequencies and amplitudes of vibration. This relies on using data to make calculated guesses, though, meaning that failures still make it through the net.

Nottingham-based GyroMetric Systems, which spun out from the city’s Trent University, has overcome that problem with its innovative digital system for monitoring the health of rotating shafts. It developed an “incremental motion encoder”, which uses a unique algorithm to calculate shaft position and torsional twist, helping operators to measure drivetrain efficiency more accurately.

Using artificial intelligence techniques to analyse performance and diagnose maintenance needs, the system can also alert turbine operators to faults in the drivetrain – allowing for repairs before problems worsen.

Working in the maritime sector, Gyrometric saw an opportunity to apply its technology in offshore wind. The Catapult provided the renewables industry expertise to help Gyrometric transfer its technology from the maritime sector into renewables. Working with our world-leading team of drivetrain experts, we hooked up the system to our 15MW powertrain test facility during the crucial commissioning phase. The GyroMetric team collected data from a 7MW nacelle’s bearings, gearbox and couplings – the key mechanical failure points on an offshore wind turbine.

Testing showed that this technology has the capability to measure shaft behaviour more accurately, improving design optimisation and reducing material costs using the collected data – providing a competitive advantage for offshore wind Owner/Operators.

Since testing started, GyroMetric attracted a significant investment, providing a boost for both the company and the UK’s growing offshore wind supply chain.

The move into monitoring wind turbines is an important strategic decision for Gyrometric Systems, and being able to work with ORE Catapult and using their turbine test facilities has provided us with a seriously useful stepping stone.

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Based in Nottingham, Gyrometric Systems employs eight staff and transferred its technology from the maritime sector to solve a persistent problem in offshore wind.

Improving turbine operating efficiency will enable increased output and reduced energy costs - good news for both operators and energy customers.

GyroMetric's "incremental motion encoder" uses a unique algorithm to calculate shaft position and torsional twist, enabling a more accurate drivetrain efficiency measurement.

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