A review on empirical mode decomposition in fault diagnosis of rotating machinery
2012 · Mechanical Systems and Signal Processing · 1,763 citations
https://doi.org/10.1016/j.ymssp.2012.09.015
M
Ming J. Zuo
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Ming J. Zuo is an academic researcher from Xi'an University of Science and Technology. The author has contributed to research in topics: Machine Fault Diagnosis Techniques & Reliability and Maintenance Optimization & Gear and Bearing Dynamics Analysis. The author has an h-index of 90, co-authored 530 publications.
ORCID: 0000-0002-8607-2923Papers by this author
worksMachine-learning-accelerated design of high-performance platinum intermetallic nanoparticle fuel cell catalysts
2024 · Nature Communications · 98 citations
https://doi.org/10.1038/s41467-023-44674-1
A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks
2020 · Measurement · 91 citations
https://doi.org/10.1016/j.measurement.2020.108234
Synthesis and Performance Evaluation of a Nanocomposite Pour-Point Depressant and Viscosity Reducer for High-Pour-Point Heavy Oil
2020 · Energy & Fuels · 56 citations
https://doi.org/10.1021/acs.energyfuels.9b04487
Multistate degradation and supervised estimation methods for a condition-monitored device
2013 · IIE Transactions · 35 citations
https://doi.org/10.1080/0740817x.2013.770188
Site-specific synergy in heterogeneous single atoms for efficient oxygen evolution
2025 · Nature Communications · 28 citations
https://doi.org/10.1038/s41467-025-57864-w
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