Abstract List
My SubmissionsEarly fault diagnosis of rotating machinery based on parameter optimized variation mode decomposition with life-cycleAbstract Accepted
Guangxin Li, Yong Chen*, Wenqing Wang, Hai Liu, Fangbo He, Rui Liu
#Machine condition monitoring and fault diagnosis
Application of integrated spectral coherence in railway axle-box bearing fault diagnosisAbstract Accepted
Bingyan Chen, Yao Cheng*, Weihua Zhang
#Machine condition monitoring and fault diagnosis
Fault diagnosis of wind turbine bearing based on Ensemble Empirical Mode Decomposition and Improved Deep Convolutional Neural NetworkAbstract Accepted
Liang Meng, Tongle Xu*
#Machine condition monitoring and fault diagnosis
Bearing fault diagnosis under variable conditions based on adaptive variational mode decomposition and generalized morphological fractal dimensions for wind turbinesAbstract Accepted
Xiaojia Kong, Tongle Xu*
#Machine condition monitoring and fault diagnosis
Analysis of Abnormal Vibration of Nuclear Power Pump Based on Data MiningDraft Accepted
Xiuqun Hou, Qinglei Jiang*, Biqi Miao
#Machine condition monitoring and fault diagnosis
Dynamic Modeling of Rolling Bearing with Local Defect under Thermal Elastohydrodynamic LubricationDraft Accepted
Yubo Wang, Changfeng Yan*, Bin Liu, Xin Zhang
#Machine condition monitoring and fault diagnosis
Application of CYCBD for the planetary gearbox fault diagnosis based on encoder informationFinal Paper
Boyao Zhang*, Yonghao Miao, Jing Lin, Chenhui Li
#Machine condition monitoring and fault diagnosis
Rolling bearing fault diagnosis based on wavelet threshold denoising and fast spectral correlationDraft Accepted
Shaoning Tian, Dong Zhen*, Hao Zhang, Zhanqun Shi, Fengshou Gu, Yan Chen
#Machine condition monitoring and fault diagnosis
Dynamic response analysis of a planetary gear with tooth tip chipping faultDraft Accepted
Yinghui Liu, Jirui Zhu, Dong Zhen*, Hao Zhang, Zhanqun Shi, Fengshou Gu
#Machine condition monitoring and fault diagnosis
Research on the Influence of Crack Parameters on the Vibration Characteristics of Gas Turbine Compressor BladesDraft Accepted
Weiwen Yu, Shixi Yang*, Zhisheng Peng, Hongwei Chi, Jun He
#Machine condition monitoring and fault diagnosis
Vibration and sound data fusion for bearing using convolution neural networkAbstract Accepted
Jiahao Sun, Shixi Yang*, Yao Tu, Jun He, Chenfang Wu
#Machine condition monitoring and fault diagnosis
Intelligent Cross-Domain Fault Diagnosis Method with Domain Alignment and Discriminative Feature LearningAbstract Accepted
Zhaohui Ren*, Yongchao Zhang, Kun Yu
#Machine condition monitoring and fault diagnosis
The Semi Supervised Fault Diagnosis Model Based on Convolutional Neural Network and Tri-TrainingDraft Accepted
Tian Han, Chao Zhang*, Jia-chen Pang, Longwen Zhang
#Machine condition monitoring and fault diagnosis
Vibration Phase Information based Real-time Fault Detection Method for Power TransformersFinal Paper
Jing Zheng*, Hai Huang, Lingzhi Li, Xishan Jiang, Hong Zheng, Guowei Zhou, Hui Yao
#Machine condition monitoring and fault diagnosis
Study on the Chaotic Characters and Fault Diagnosis of Gearbox in High DimensionAbstract Accepted
Yu Jiang, Hua Zhu*
#Machine condition monitoring and fault diagnosis
Important Date
-
Conference Date
Nov 01
2022
toNov 03
2022
-
Oct 30 2022
Draft paper submission deadline
-
Nov 09 2022
Registration deadline
Sponsored By
Contact Information
- Miss T. Yuan
- se******@apvc2021.org
