A Bearing Fault Diagnosis Method Based on Multimodal Attention Feature Fusion

Peng Jinning; Jing Zhao; Jingpeng Wang; Fei Xie; Laishou Song; Cong Wang

doi:10.1109/rcae62637.2024.10834192

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A Bearing Fault Diagnosis Method Based on Multimodal Attention Feature Fusion

Peng Jinning Jing Zhao Jingpeng Wang Fei Xie Laishou Song Cong Wang

Year: 2024 Pages: 309-313

DOI: 10.1109/rcae62637.2024.10834192

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Keywords:

Bearing (navigation) Computer science Fusion Feature (linguistics) Fault (geology) Feature extraction Pattern recognition (psychology) Artificial intelligence Information fusion Geology

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Advanced Decision-Making Techniques

Physical Sciences → Computer Science → Information Systems

Evaluation and Optimization Models

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Advanced Computational Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

A Bearing Fault Diagnosis Method Based on Multimodal Attention Feature Fusion

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