Novel rolling bearing state classification method based on probabilistic Jensen–Shannon divergence and decision fusion
2025 · Measurement Science and Technology · 4 citations
https://doi.org/10.1088/1361-6501/adc028
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Fei Jiang
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47
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702
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14
h-index
16
i10-index
Fei Jiang is an academic researcher from Qingdao University of Science and Technology. The author has contributed to research in topics: Machine Fault Diagnosis Techniques & Gear and Bearing Dynamics Analysis & Fault Detection and Control Systems. The author has an h-index of 14, co-authored 40 publications.
ORCID: 0000-0002-5841-2003Papers by this author
worksA tool wear monitoring method driven by workpiece surface quality inversion and EfficientNet
2025 · Measurement Science and Technology · 3 citations
https://doi.org/10.1088/1361-6501/adaa91
Speed harmonic suppression of PMSM and its application in ball screw vibration suppression
2024 · Measurement Science and Technology · 2 citations
https://doi.org/10.1088/1361-6501/ad76cb
Natural gas accumulation models and enrichment patterns of the Huoshiling Fm reservoirs in the Xiaochengzi gas fi eld, Wangfu fault depression, Songliao Basin
2016 · Tianranqi gongye · 1 citations
Hybrid contrastive representations and SBO-based samples generation for rotating machinery anomaly detection based on driven-end current signal
2025 · Measurement Science and Technology · 1 citations
https://doi.org/10.1088/1361-6501/ada78d
Global-local contrastive learning: A multi-operating-condition guided approach for few-shot cross-domain bearing fault diagnosis
2025 · Engineering Applications of Artificial Intelligence · 1 citations
https://doi.org/10.1016/j.engappai.2025.113375
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