Synergising an Advanced Optimisation Technique with Deep Learning: A Novel Method in Fault Warning Systems
Jia Tian,
Xingqin Zhang,
Shuangqing Zheng
et al.
Abstract:In the realm of automated industry and smart production, the deployment of fault warning systems is crucial for ensuring equipment reliability and enhancing operational efficiency. Although there are a multitude of existing methodologies for fault warning, the proficiency of these systems in processing and analysing data is increasingly challenged by the progression of industrial apparatus and the escalating magnitude and intricacy of the data involved. To address these challenges, this research outlines an in… Show more
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