Fault diagnosis method based on multimodal-deep tensor projection network under variable working conditions

Zhi Li; Chenyu Liu; Wenjing Huang; Fengtao Wang; Wenxian Yang

doi:10.1016/j.ymssp.2025.112336

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Fault diagnosis method based on multimodal-deep tensor projection network under variable working conditions

Zhi Li Chenyu Liu Wenjing Huang Fengtao Wang Wenxian Yang

Year: 2025 Journal: Mechanical Systems and Signal Processing Vol: 225 Pages: 112336-112336 Publisher: Elsevier BV

DOI: 10.1016/j.ymssp.2025.112336

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Keywords:

Projection (relational algebra) Variable (mathematics) Tensor (intrinsic definition) Fault (geology) Computer science Artificial intelligence Pattern recognition (psychology) Computer vision Mathematics Geology Algorithm Geometry Mathematical analysis Seismology

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Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Fault diagnosis method based on multimodal-deep tensor projection network under variable working conditions

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