Machine fault detection model based on MWOA-BiLSTM algorithm

This paper proposes the Modulated Whale Optimization Algorithm(MWOA), an innovative metaheuristic algorithm derived from the classic WOA and tailored for bionics-inspired optimization. MWOA tackles common optimization problems like local optima and premature convergence using two key methods: shrink...

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Veröffentlicht in:	PloS one Jg. 19; H. 11; S. e0310133
Hauptverfasser:	Xia, Yi-Qiang, Yang, Yang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 11.11.2024 Public Library of Science (PLoS)
Schlagworte:	Algorithms Analysis Animals Biology and Life Sciences Bionics Cetacea Computer and Information Sciences Convergence Cost reduction Earth Sciences Ecology and Environmental Sciences Environmental aspects Failure Fault detection Genetic aspects Health aspects Heuristic Heuristic methods Machine learning Mathematical optimization Medicine and Health Sciences Methods Models, Theoretical Neural networks Observations Optimization Optimization algorithms Optimization techniques Physical Sciences Preventive maintenance Process controls Repair & maintenance Research and Analysis Methods Solution space Support vector machines Trouble shooting China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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