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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Zong Meng
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Zong Meng is an academic researcher from Chinese Academy of Sciences. 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 31, co-authored 120 publications.
ORCID: 0000-0002-8480-3235Papers by this author
worksStochastic resonance in an underdamped Duffing bistable system embedded with overdamped feedback control for rolling bearing fault detection
2025 · Measurement Science and Technology · 1 citations
https://doi.org/10.1088/1361-6501/adb5ab
Sub-Diffraction Limit Quantum Metrology for Nanofabrication
2025 · Engineering · 0 citations
https://doi.org/10.1016/j.eng.2025.04.010
A two-stage source-free domain adaptation method for fault diagnosis of wind turbine gearboxes
2025 · Measurement Science and Technology · 0 citations
https://doi.org/10.1088/1361-6501/ae0494
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