Application of artificial intelligence for modelling and optimisation of maintenance policies for Hydrogen assets

Development of an artificial intelligence powered application for the purpose of modelling and optimising equipment maintenance policy according to asset reliability, predicted performance and the defined desirable maintenance strategy. With projects to transport 100% Hydrogen in industrial settings gaining increasing traction, this project will serve as a pilot to implement smarter, more intelligent ways of maintaining these assets to increase reliability, reduce operational costs and ultimately prove the credibility of hydrogen as an alternative energy source.