A novel unsupervised deep learning network for intelligent fault diagnosis of rotating machinery
- 期刊名称Structural Health Monitoring
- 作者Zhao, Xiaoli; Jia, Minping
- 印刷ISSN1475-9217
- 电子ISSN1741-3168
- 发表时间2020-01-09
- DOI10.1177/1475921719897317
Deep Laplacian Auto-encoder and its application into imbalanced fault diagnosis of rotating machineryZhao, Xiaoli; Jia, Minping; Lin, Mingyao · Measurement · 2020
Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysisZhao, Xiaoli; Jia, Minping · Neurocomputing · 2018
A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosisZhao, Xiaoli; Jia, Minping · Neurocomputing · 2019
A novel Deep Fuzzy Clustering Neural Network model and its application in fault recognition of rolling bearingZhao, Xiaoli; Jia, Minping · Measurement Science and Technology · 2018
Fault Diagnosis Framework of Rolling Bearing using Adaptive Sparse Contrative Auto-encoder with Optimized Unsupervised Extreme Learning MachineZhao, Xiaoli; Jia, Minping; Liu, Zheng; Ding, Peng; Yang, Cheng; Zhu, Lin · IEEE Access · 2019
Issue InformationStructural Control and Health Monitoring · 2013
Issue InformationStructural Control and Health Monitoring · 2013
Issue InformationStructural Control and Health Monitoring · 2013
Issue InformationStructural Control and Health Monitoring · 2013
Issue InformationStructural Control and Health Monitoring · 2012
Issue InformationStructural Control and Health Monitoring · 2012
Issue InformationStructural Control and Health Monitoring · 2013
Issue InformationStructural Control and Health Monitoring · 2013