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identification of risk-ranking for key failure modes
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derived health indices for most vulnerable components and sub-systems
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digital twin for every turbine, based on simulations based on turbine-specific data
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estimates of accumulated damage, remaining useful life and risk of failure based on combination of statistics, expert knowledge and physics of failure
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pilot project for operating wind farm (focus on frequency converter, gearbox and pitch system)
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new models embedded within computerised maintenance management system
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estimated cost-savings from reduced inspection, prioritised maintenance tasks, optimised inventory of spares and tools
News article
27 April 2017
Lloyd's Register's Dr Mark Spring delivers paper at BIS Group Forum
At the recent BIS Group 2nd Annual Wind Power Industry Big Data and Internet of Things Forum, LR's Dr Mark Spring delivered a paper on virtual sensors for condition monitoring covering: