Abstract List
My Submissions
439
Partial Transfer Fault Diagnosis of Rotating Machines Based on Subclass Alignment NetworkAbstract Accepted

天然 林*, Kun Yu, Kari Koskinen, Xuesong Wang

#Machine condition monitoring and fault diagnosis

437
Vibration-based Condition Monitoring of Abnormal Friction in RV Re-ducerFinal Paper

Qirong Xu, Fengshou Gu*

#Machine condition monitoring and fault diagnosis

405
Diagnosis and Analysis of an Aero-engine Rotor Blade Rubbing FaultFinal Paper

Xu Fujian*

#Machine condition monitoring and fault diagnosis

399
Impact load sparse recognition method based on MC penalty functionDraft Accepted

hongjun wang*

#Machine condition monitoring and fault diagnosis

391
On the automated failure diagnostic system for the hydraulic pressing machineFinal Paper

Osamu Terashima*, Naoyuki Takeda, Taisei Kusano, Zhe LI

#Machine condition monitoring and fault diagnosis

382
An unsupervised domain adaptive bidirectional long short-term memory transfer learning method for remaining useful life predictionAbstract Accepted

Chengying Zhao, Xianzhen Huang*, Huizhen Liu

#Machine condition monitoring and fault diagnosis

366
Self-Tuning Genetic Algorithm for Feature Selection in Multivariate Hydraulic System Condition MonitoringDraft Accepted

Sheng Ooi*, Meng Hee Lim, Kee Quen Lee, Mohd Salman Leong

#Machine condition monitoring and fault diagnosis

353
65Draft Accepted

45 54*

#Machine condition monitoring and fault diagnosis

344
An improved 2-D convolution neural network for fault diagnosis of rolling bearing based on vibration and sound data fusionDraft Accepted

Sun Jiahao, Shixi Yang*, Tu Yao, Jun He, Chenfang Wu

#Machine condition monitoring and fault diagnosis

325
Bearing Fault Diagnosis Under Multiple Loads Based on Deep-Stacked CNNFinal Paper

Qiankun Li, Xin Ma, Yu Hu, Youqing Wang*

#Machine condition monitoring and fault diagnosis

302
Bearing prognostic using a self-attention sequence-to-sequence networkDraft Accepted

Shilong Sun*, Tengyi Peng, Xiao Zhang, Yu Zhou

#Machine condition monitoring and fault diagnosis

289
Research on Rotating Machinery Performance Degradation Monitoring System Based on LLE and Neural Network AlgorithmAbstract Accepted

zhiyuan dong*

#Machine condition monitoring and fault diagnosis

284
A bearing fault detection methodology based on enhanced adaptive resonance techniqueAbstract Pending

Hua Li, Tao Liu*, Xing Wu, Shaobo Li

#Machine condition monitoring and fault diagnosis

280
Application of a Novel Spectral Kurtosis Method for Railway Axle Bearing Fault DiagnosisAbstract Accepted

Yao Cheng*, Weihua Zhang, Bingyan Chen

#Machine condition monitoring and fault diagnosis

276
Normalized Conditional Variational Autoencoder for Imbalanced fault diagnosis of rolling bearingsAbstract Accepted

Xiaoli Zhao*

#Machine condition monitoring and fault diagnosis

Important Date
  • Conference Date

    Nov 01

    2022

    to

    Nov 03

    2022

  • Oct 30 2022

    Draft paper submission deadline

  • Nov 09 2022

    Registration deadline

Sponsored By
Qingdao University of Technology