Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working conditions

Shuilong He; Qianwen Cui; Jinglong Chen; Tongyang Pan; Chaofan Hu

doi:10.1016/j.ymssp.2024.111192

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Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working conditions

Shuilong He Qianwen Cui Jinglong Chen Tongyang Pan Chaofan Hu

Year: 2024 Journal: Mechanical Systems and Signal Processing Vol: 211 Pages: 111192-111192 Publisher: Elsevier BV

DOI: 10.1016/j.ymssp.2024.111192

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Keywords:

Reinforcement learning Artificial intelligence Discriminative model Computer science Stability (learning theory) Fault (geology) Machine learning Feature (linguistics) Feature learning Feature extraction Pattern recognition (psychology)

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working conditions

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