Multi-Objective Optimisation Applied to Vibration of Rotating Shafts
Reza Martinez
Bangladesh University of Engineering and Technology
Xiaoming Gomez
Nanyang Technological University
Abstract
Reliability in thermal power plants has become a strategic priority for rapidly urbanising regions, where infrastructure often lags behind demand. To quantify uncertainty, the procedure embeds multi-objective optimisation within a Monte Carlo sampling scheme. Detection accuracy reached 44%, substantially exceeding that of existing techniques. Further validation across a broader range of conditions is recommended before large-scale deployment.
Keywords:
vibration of rotating shaftsmulti-objective optimisationpower qualityconvolutional neural networkadditive manufacturingenergy efficiency
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