What is it about?
The study incorporates machine learning algorithms with recursive feature elimination and exposes latent degradation assuming hydraulic pump degradation, which was not observed by lubricant condition monitoring. The study shows that unobserved degradation led to >20% loss based on the initial state in the experiment.
Photo by Vlad Kutepov on Unsplash
Why is it important?
The idea is to transition towards easy-to-access and low-cost indicators such as pressure and flow for gaining insight into the state of the system with the help of a machine and deep learning algorithms.
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This page is a summary of: From predictive to energy-based maintenance paradigm: Achieving cleaner production through functional-productiveness, Journal of Cleaner Production, July 2023, Elsevier,
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