[1] |
LUO Ji-Sai, XU De-Ge, SHI Mei-Li.
Gearbox Fault Diagnosis with Rotating Speed Fluctuation Based on SVD and Chirplet Path Pursuit Algorithm
[J]. J4, 201016, 21(16): 1947-1951.
|
[2] |
XIAO Gang, GU Hairui, DONG Jinjin, WANG Qibing, LU Jiawei.
Simulation Data-driven Migration Diagnosis Method for Guide Rail Faults in Long-term Service Elevators
[J]. China Mechanical Engineering, 2024, 35(01): 125-135.
|
[3] |
YU Shubo, LIU Zhansheng, ZHAO Chen.
Dynamics Simulation Data Driven Domain Adaptive Intelligent Fault Diagnosis
[J]. China Mechanical Engineering, 2023, 34(23): 2832-2841.
|
[4] |
QIN Guohao, ZHANG Kai, DING Kun, HUANG Fengfei, ZHENG Qing, DING Guofu, .
Dynamic Wide Convolutional Residual Network for Bearing Fault Diagnosis Method
[J]. China Mechanical Engineering, 2023, 34(18): 2212-2221.
|
[5] |
DONG Shaojiang, ZHOU Cunfang, CHEN Lili, XU Xiangyang.
Cross-domain Fault Diagnosis of Bearings Based on Discriminant Feature Extraction and Dual-domain Alignment
[J]. China Mechanical Engineering, 2023, 34(15): 1856-1863.
|
[6] |
MENG Kang, TENG Wei, PENG Dikang, XIANG Ling, LIU Yibing.
Operating Mechanism and Data Driven Approach for Fault Alarm of Wind Turbine Gearbox Systems
[J]. China Mechanical Engineering, 2023, 34(12): 1476-1485.
|
[7] |
ZHENG Jinde, CHEN Yan, TONG Jinyu, PAN Haiyang.
RGCMvMRDE and Its Applications in Rolling Bearing Fault Diagnosis
[J]. China Mechanical Engineering, 2023, 34(11): 1315-1325.
|
[8] |
ZHANG Long, HU Yanqing, ZHAO Lijuan, ZHANG Hao.
Multichannel Information Fusion and Deep Transfer Learning for Rotating Machinery Fault Diagnosis
[J]. China Mechanical Engineering, 2023, 34(08): 966-975.
|
[9] |
ZHANG Long, ZHANG Hao, WANG Chaobing, WANG Xiaobo, WEN Peitian, ZHAO Lijuan.
Explicit Dynamics Driving Fault Diagnosis Method for Bearing Variable Conditions
[J]. China Mechanical Engineering, 2023, 34(08): 982-992.
|
[10] |
DONG Shaojiang, ZHU Peng, ZHU Sunke, LIU Lanhui, XING Bin, HU Xiaolin.
Fault Diagnosis Method of Rolling Bearings Based on Simulation Data Drive and Domain Adaptation
[J]. China Mechanical Engineering, 2023, 34(06): 694-702.
|
[11] |
LI Dongyang, YUAN Dongfeng, ZHANG Haixia, ZHENG Anzhu, DI Zijun, LIANG Daojun, .
Research on Intelligent Tool Fault Diagnosis System of Machine Tools with Cloud-Edge-Device Collaboration
[J]. China Mechanical Engineering, 2023, 34(05): 584-594.
|
[12] |
ZHAO Jing, YANG Shaopu, LI Qiang, LIU Yongqiang, .
A New Transfer Learning Method with Residual Attention and Its Applications on Rolling Bearing Fault Diagnosis
[J]. China Mechanical Engineering, 2023, 34(03): 332-343.
|
[13] |
ZHAO Yike, WANG Jiaxu, ZHANG Xin, WU Lei, LIU Zhiwen.
Aero-engine Fault Diagnosis Based on an Enhanced Minimum Entropy Deconvolution
[J]. China Mechanical Engineering, 2023, 34(02): 193-200.
|
[14] |
LI Ke, , YAN Han, GU Jiefei, , SU Lei, SU Wensheng, XUE Zhigang.
Research on Multi-source Transfer Learning Bearing Fault Diagnosis Based on Shapelets Time Series
[J]. China Mechanical Engineering, 2022, 33(24): 2990-2996,3006.
|
[15] |
GUO Wei, XING Xiaosong.
Intelligent Fault Diagnosis of Bearings with Few Samples Based on an Improved Convolutional Generative Adversarial Network
[J]. China Mechanical Engineering, 2022, 33(19): 2347-2355.
|