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Zhenya Wang
Zhenya Wang
在 mail.tsinghua.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Rolling bearing fault diagnosis using generalized refined composite multiscale sample entropy and optimized support vector machine
Z Wang, L Yao, Y Cai
Measurement 156, 107574, 2020
1772020
Mahalanobis semi-supervised mapping and beetle antennae search based support vector machine for wind turbine rolling bearings fault diagnosis
Z Wang, L Yao, Y Cai, J Zhang
Renewable Energy 155, 1312-1327, 2020
1172020
Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals
Z Wang, L Yao, G Chen, J Ding
ISA transactions 114, 470-484, 2021
1152021
Fault diagnosis of rolling bearing using marine predators algorithm-based support vector machine and topology learning and out-of-sample embedding
X Chen, X Qi, Z Wang, C Cui, B Wu, Y Yang
Measurement 176, 109116, 2021
652021
Data-driven fault diagnosis for wind turbines using modified multiscale fluctuation dispersion entropy and cosine pairwise-constrained supervised manifold mapping
Z Wang, G Li, L Yao, X Qi, J Zhang
Knowledge-Based Systems 228, 107276, 2021
552021
An FSK-MBCNN based method for compound fault diagnosis in wind turbine gearboxes
J Zhang, B Xu, Z Wang, J Zhang
Measurement 172, 108933, 2021
432021
Intelligent fault detection scheme for constant-speed wind turbines based on improved multiscale fuzzy entropy and adaptive chaotic Aquila optimization-based support vector machine
Z Wang, G Li, L Yao, Y Cai, T Lin, J Zhang, H Dong
ISA transactions 138, 582-602, 2023
272023
An effective multi-channel fault diagnosis approach for rotating machinery based on multivariate generalized refined composite multi-scale sample entropy
Z Wang, H Chen, L Yao, X Chen, X Qi, J Zhang
Nonlinear Dynamics 106, 2107-2130, 2021
172021
Concentration mixing and melt pool solidification behavior during the magnetic field assisted laser cladding of Fe-Cr-based alloy on 45 steel surface
G Li, Z Wang, L Yao, D Xie, G Chen
Surface and Coatings Technology 445, 128732, 2022
132022
Rolling Bearing Fault Diagnosis Method Based on Generalized Refined Composite Multiscale Sample Entropy and Manifold Learning.
W Zhenya, YAO Ligang
China Mechanical Engineering 31 (20), 2020
132020
Component mixing in laser cladding processes: From single-track to single-layer multi-track and multi-layer multi-track
G Li, Z Wang, L Yao, J Ding, J Gao
Surface and Coatings Technology 455, 129233, 2023
122023
广义精细复合多尺度样本熵与流形学习相结合的滚动轴承故障诊断方法
王振亚, 姚立纲
中国机械工程 31 (20), 2463, 2020
112020
Rolling bearing fault diagnosis based on GCMWPE and parameter optimization SVM
J DING, Z WANG, L YAO, Y CAI
China Mechanical Engineering 32 (02), 147, 2021
92021
A novel 3-D mathematical modeling method on the magnetic field in nutation magnetic gear
J Ding, L Yao, Z Xie, Z Wang, G Chen
IEEE Transactions on Magnetics 58 (5), 1-10, 2022
62022
广义复合多尺度加权排列熵与参数优化支持向量机的滚动轴承故障诊断
丁嘉鑫, 王振亚, 姚立纲, 蔡永武
中国机械工程 32 (2), 147-155, 2021
62021
Refined composite multiscale fluctuation dispersion entropy and supervised manifold mapping for planetary gearbox fault diagnosis
H Su, Z Wang, Y Cai, J Ding, X Wang, L Yao
Machines 11 (1), 47, 2023
32023
参数优化变分模态分解与多域流形学习的行星齿轮箱故障诊断
王振亚, 姚立纲, 戚晓利, 张俊, 郑近德
振动与冲击 40 (1), 110-118,126, 2021
32021
Fault diagnosis method based on the entropy-manifold feature and SSO-SVM
Z Wang, L Yao, Y Cai, J Zhang
J. Vib. Shock 40, 107-114, 2021
32021
基于改进半监督 LTSA 与 BA-SVM 的滚动轴承故障诊断.
吴保林, 戚晓利, 王振亚, 叶绪丹, 郑近德
Bearing, 2020
32020
基于 ACMPE, ISSL-Isomap 和 GWO-SVM 的行星齿轮箱故障诊断
戚晓利, 王振亚, 吴保林, 叶绪丹, 潘紫微
航空动力学报 34 (4), 744-755, 2019
32019
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