LDA-based deep transfer learning for fault diagnosis in industrial chemical processes

Yalin Wang; Dongzhe Wu; Xiaofeng Yuan

doi:10.1016/j.compchemeng.2020.106964

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LDA-based deep transfer learning for fault diagnosis in industrial chemical processes

Yalin Wang Dongzhe Wu Xiaofeng Yuan

Year: 2020 Journal: Computers & Chemical Engineering Vol: 140 Pages: 106964-106964 Publisher: Elsevier BV

DOI: 10.1016/j.compchemeng.2020.106964

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Keywords:

Artificial intelligence Transfer of learning Linear discriminant analysis Process (computing) Fault (geology) Generalization Computer science Feature (linguistics) Machine learning Pattern recognition (psychology) Deep learning Latent variable Domain adaptation Mathematics

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Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Mineral Processing and Grinding

Physical Sciences → Engineering → Mechanical Engineering

Metal Extraction and Bioleaching

Physical Sciences → Engineering → Biomedical Engineering

LDA-based deep transfer learning for fault diagnosis in industrial chemical processes

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