A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings
2019 · Measurement · 501 citations
https://doi.org/10.1016/j.measurement.2019.107002
L
Long Zhang
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Long Zhang is an academic researcher from Shanghai University. The author has contributed to research in topics: Machine Fault Diagnosis Techniques & Gear and Bearing Dynamics Analysis & Structural Health Monitoring Techniques. The author has an h-index of 31, co-authored 238 publications.
ORCID: 0000-0001-7877-7993Papers by this author
worksBearing Fault Diagnosis Using a Novel Classifier Ensemble Based on Lifting Wavelet Packet Transforms and Sample Entropy
2016 · Shock and Vibration · 17 citations
https://doi.org/10.1155/2016/4805383
Estimating the resistance of aging service-proven bridges with a Gamma process-based deterioration model
2018 · Journal of Traffic and Transportation Engineering (English Edition) · 11 citations
https://doi.org/10.1016/j.jtte.2018.11.001
Secondary flexibility market mechanism design and response behavior analysis among multi-microgrids with high proportional BTM-RERs
2024 · Applied Energy · 5 citations
https://doi.org/10.1016/j.apenergy.2024.123345
Investigations into the robustness of the peak turn-on current slope method for junction temperature sensing in p-GaN HEMTs
2024 · Semiconductor Science and Technology · 1 citations
https://doi.org/10.1088/1361-6641/ad68a0
OEVS-fusion: Olfactory-enhanced visual semantic recognition framework for ground stain detection in indoor environments
2025 · Sensors and Actuators B Chemical · 1 citations
https://doi.org/10.1016/j.snb.2025.137902
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