Enhancing LightGBM for Industrial Fault Warning: An Innovative Hybrid Algorithm

The reliable operation of industrial equipment is imperative for ensuring both safety and enhanced production efficiency. Machine learning technology, particularly the Light Gradient Boosting Machine (LightGBM), has emerged as a valuable tool for achieving effective fault warning in industrial setti...

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Veröffentlicht in:	Processes Jg. 12; H. 1; S. 221
Hauptverfasser:	Li, Shuai, Jin, Nan, Dogani, Azadeh, Yang, Yang, Zhang, Ming, Gu, Xiangyun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2024
Schlagworte:	Accuracy Algorithms Artificial neural networks Back propagation networks Case studies Efficiency Experiments Industrial equipment Keywords Learning strategies Literature reviews Localization Long short-term memory Machine learning Maintenance costs Mathematical optimization Mathematics Methods Neural networks Optimization algorithms Root-mean-square errors Simulated annealing Social organization Warning systems Wavelet transforms
ISSN:	2227-9717, 2227-9717
Online-Zugang:	Volltext
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