Qingjun Song,Jiuxin Wang,Qinghui Song,Kai Li,Wenchao Hao,Haiyan Jiang.Fault diagnosis of HVCB via the subtraction average based optimizer algorithm optimized multi channel CNN-SABO-SVM network[J].Scientific Reports,2024.
Chao Zhao,Enrico Zio,Weiming Shen.Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study[J].Reliability Engineering and System Safety,2024.
Wang Xiaojia,Hua Tong,Xu Sheng,Zhao Xibin.A Novel Rolling Bearing Fault Diagnosis Method Based on BLS and CNN with Attention Mechanism[J].Machines,2023.
Yu Xiao,Liang Zhongting,Wang Youjie,Yin Hongshen,Liu Xiaowen,Yu Wanli,Huang Yanqiu.A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions[J].Measurement,2022.
Han Haoran,Wang Huan,Liu Zhiliang,Wang Jiayi.Intelligent vibration signal denoising method based on non-local fully convolutional neural network for rolling bearings.[J].ISA transactions,2021.
Xiaohan Chen,Beike Zhang,Dong Gao.Bearing fault diagnosis base on multi-scale CNN and LSTM model[J].Journal of Intelligent Manufacturing,2020.
Feng Jian,Yao Yu,Lu Senxiang,Liu Yue.Domain Knowledge-based Deep-Broad Learning Framework for Fault Diagnosis[J].IEEE Transactions on Industrial Electronics,2020.
Chen Zhihao,Cen Jian,Xiong Jianbin.Rolling Bearing Fault Diagnosis Using Time-Frequency Analysis and Deep Transfer Convolutional Neural Network[J].IEEE ACCESS,2020.
C. L. Philip Chen,Zhulin Liu.Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture.[J].IEEE Trans. Neural Netw. Learning Syst.,2018.