CONELPABO: composite networks learning via parallel Bayesian optimization to predict remaining useful life in predictive maintenance
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DOI: 10.1007/s00521-025-10995-z
Abstract: Maintaining equipment and machinery in industries is imperative for maximizing operational efficiency and prolonging their lifespan. The adoption of predictive maintenance enhances resource allocation, productivity, and product quality by proactively identifying and addressing potential equipment… read more here.
Keywords: predictive maintenance; bayesian optimization; conelpabo composite; networks learning ... See more keywords