A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
Shao, Haidong, Jiang, Hongkai, Lin, Ying, Li, Xingqiu
Published in Mechanical systems and signal processing (01.03.2018)
Published in Mechanical systems and signal processing (01.03.2018)
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Journal Article
Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine
Haidong, Shao, Hongkai, Jiang, Xingqiu, Li, Shuaipeng, Wu
Published in Knowledge-based systems (15.01.2018)
Published in Knowledge-based systems (15.01.2018)
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Journal Article
A novel Co, O co-doped Ag2S bimetallic oxysulfide catalyst for efficiently catalytic reduction of 4-nitrophenol and organic dyes
Li, Xingqiu, Chen, Longyan, Zhang, Pengkun, Abdeta, Adugna Boke, Wu, Qinhan, Wu, Binghong, Lin, Jinguo, Kuo, Dong-Hau, Zhang, Yu, Chen, Xiaoyun
Published in Journal of science. Advanced materials and devices (01.09.2023)
Published in Journal of science. Advanced materials and devices (01.09.2023)
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Journal Article
An adaptive deep transfer learning method for bearing fault diagnosis
Wu, Zhenghong, Jiang, Hongkai, Zhao, Ke, Li, Xingqiu
Published in Measurement : journal of the International Measurement Confederation (01.02.2020)
Published in Measurement : journal of the International Measurement Confederation (01.02.2020)
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Journal Article
Rolling bearing fault diagnosis using optimal ensemble deep transfer network
Li, Xingqiu, Jiang, Hongkai, Wang, Ruixin, Niu, Maogui
Published in Knowledge-based systems (15.02.2021)
Published in Knowledge-based systems (15.02.2021)
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Journal Article
Intelligent fault diagnosis of rolling bearings using an improved deep recurrent neural network
Jiang, Hongkai, Li, Xingqiu, Shao, Haidong, Zhao, Ke
Published in Measurement science & technology (01.06.2018)
Published in Measurement science & technology (01.06.2018)
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Journal Article
Rolling bearing fault detection using continuous deep belief network with locally linear embedding
Shao, Haidong, Jiang, Hongkai, Li, Xingqiu, Liang, Tianchen
Published in Computers in industry (01.04.2018)
Published in Computers in industry (01.04.2018)
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Journal Article
Rolling bearing fault diagnosis using variational autoencoding generative adversarial networks with deep regret analysis
Liu, Shaowei, Jiang, Hongkai, Wu, Zhenghong, Li, Xingqiu
Published in Measurement : journal of the International Measurement Confederation (15.01.2021)
Published in Measurement : journal of the International Measurement Confederation (15.01.2021)
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Journal Article
An optimal deep sparse autoencoder with gated recurrent unit for rolling bearing fault diagnosis
Zhao, Ke, Jiang, Hongkai, Li, Xingqiu, Wang, Ruixin
Published in Measurement science & technology (01.01.2020)
Published in Measurement science & technology (01.01.2020)
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Journal Article
An optimal variational mode decomposition for rolling bearing fault feature extraction
Wei, Dongdong, Jiang, Hongkai, Shao, Haidong, Li, Xingqiu, Lin, Ying
Published in Measurement science & technology (01.05.2019)
Published in Measurement science & technology (01.05.2019)
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