A novel multi-sensor local and global feature fusion architecture based on multi-sensor sparse Transformer for intelligent fault diagnosis

Zhenkun Yang; Gang Li; Gui Xue; Bin He; Yue Song; Xin Li

doi:10.1016/j.ymssp.2024.112188

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A novel multi-sensor local and global feature fusion architecture based on multi-sensor sparse Transformer for intelligent fault diagnosis

Zhenkun Yang Gang Li Gui Xue Bin He Yue Song Xin Li

Year: 2024 Journal: Mechanical Systems and Signal Processing Vol: 224 Pages: 112188-112188 Publisher: Elsevier BV

DOI: 10.1016/j.ymssp.2024.112188

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Keywords:

Artificial intelligence Computer science Architecture Transformer Sensor fusion Feature (linguistics) Fusion Pattern recognition (psychology) Fault (geology) Engineering Electrical engineering Voltage

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Topics

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

A novel multi-sensor local and global feature fusion architecture based on multi-sensor sparse Transformer for intelligent fault diagnosis

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Citation History

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