[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] |
HU Chao, LIU Zuo-Min.
Research on Rolling Bearing’s Heathcote’s Stick-slip Model Based on Materials Compatibility
[J]. J4, 201016, 21(16): 1969-1973.
|
[3] |
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.
|
[4] |
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.
|
[5] |
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.
|
[6] |
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.
|
[7] |
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.
|
[8] |
WU Lei, WANG Jiaxu, ZHANG Xin, LIU Zhiwen.
Blind Deconvolution Based on Reweighted-kurtosis Maximization for Wind Turbine Fault Diagnosis
[J]. China Mechanical Engineering, 2022, 33(19): 2356-2363.
|
[9] |
WEN Jiangtao, ZHANG Pengcheng, SUN Jiedi, LEI Ming.
Unsupervised Transfer Learning with Residual Convolutional Autoencoder Networks for Bearing Fault Diagnosis
[J]. China Mechanical Engineering, 2022, 33(14): 1707-1716.
|
[10] |
YANG Guangyou, LIU Lang, XI Chenbo.
Bearing Fault Diagnosis Based on SA-ACGAN Data Generation Model
[J]. China Mechanical Engineering, 2022, 33(13): 1613-1621.
|
[11] |
JIANG Wanlu, LI Man, ZHANG Peiyao, ZHAO Yapeng, ZHANG Shuqing.
Intelligent Fault Diagnosis Method for Rotating Equipment Based on Full Vector Enhanced Deep Forest
[J]. China Mechanical Engineering, 2022, 33(11): 1324-1335.
|
[12] |
WU Lifeng, , LYU Yong, YUAN Rui, ZHU Xi, YOU Jun, .
Improved SA-MEMD with Applications to Fault Diagnosis of Rolling Bearings
[J]. China Mechanical Engineering, 2022, 33(11): 1336-1344.
|
[13] |
JIANG Jiawei, HU Yihuai, FANG Yunhu, ZHANG Chen, RUI Xiaosong, WANG Meng.
Fault Diagnosis Method of Marine Fans Based on MTAD and Fuzzy Entropy
[J]. China Mechanical Engineering, 2022, 33(10): 1178-1188.
|
[14] |
GUO Jiaxin, CHENG Junsheng, YANG Yu, .
Fault Diagnosis Method of Rolling Bearings Based on Improved Multi-linear Principal Component Analysis Network
[J]. China Mechanical Engineering, 2022, 33(02): 187-193,201.
|
[15] |
JIE Zhenguo, WANG Xiyang, GONG Tingkai.
Gear Fault Diagnosis Based on Deep Learning and Subdomain Adaptation
[J]. China Mechanical Engineering, 2021, 32(22): 2716-2723.
|