WANG Xin-gang, HAN Kai-zhong, WANG Chao, LI Lin. Bearing Remaining Useful Life Prediction Method Based on Transfer Learning[J]. Journal of Northeastern University(Natural Science), 2021, 42(5): 665-672.
[1]Babu G S,Zhao P,Li X L.Deep convolutional neural network based regression approach for estimation of remaining useful life[C]// International Conference on Database Systems for Advanced Applications.Cham,2016:214-228. [2]Ren L,Cui J,Sun Y,et al.Multi-bearing remaining useful life collaborative prediction:a deep learning approach[J].Journal of Manufacturing Systems, 2017,43:248-256. [3]Zhu J,Chen N,Peng W.Estimation of bearing remaining useful life based on multiscale convolutional neural network[J].IEEE Transactions on Industrial Electronics, 2018,66(4):3208-3216. [4]Li X,Zhang W,Ding Q.Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction[J].Reliability Engineering & System Safety,2019,182:208-218. [5]Yang B,Liu R,Zio E.Remaining useful life prediction based on a double-convolutional neural network architecture[J].IEEE Transactions on Industrial Electronics, 2019,66(12):9521-9530. [6]Pan S J,Yang Q.A survey on transfer learning[J].IEEE Transactions on Knowledge and Data Engineering,2009,22(10):1345-1359. [7]Wen L,Gao L,Li X.A new deep transfer learning based on sparse auto-encoder for fault diagnosis[J].IEEE Transactions on Systems,Man,and Cybernetics,2017,49(1):136-144. [8]Li X,Zhang W,Ding Q,et al.Multi-layer domain adaptation method for rolling bearing fault diagnosis[J].Signal Processing, 2019,157:180-197. [9]Han T,Liu C,Yang W,et al.A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults[J].Knowledge-Based Systems, 2019,165:474-487. [10]Ganin Y,Ustinova E,Ajakan H,et al.Domain-adversarial training of neural networks[J].The Journal of Machine Learning Research,2016,17(1):2096-2030. [11]Goodfellow I,Pouget-Abadie J,Mirza M,et al.Generative adversarial nets[C]// Advances in Neural Information Processing Systems.Montreal,2014:2672-2680. [12]Cao Z,Long M,Wang J,et al.Partial transfer learning with selective adversarial networks[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Salt Lake City,2018:2724-2732. [13]Yu C,Wang J,Chen Y,et al.Transfer learning with dynamic adversarial adaptation network[C]//2019 IEEE International Conference on Data Mining (ICDM).Beijing:IEEE,2019:778-786. [14]Nectoux P,Gouriveau R,Medjaher K,et al.PRONOSTIA:an experimental platform for bearings accelerated degradation tests[C]// IEEE International Conference on Prognostics and Health Management,PHM′12.Denver:IEEE Catalog Number,2012:1-8. [15]Long M,Cao Y,Wang J,et al.Learning transferable features with deep adaptation networks[C]//International Conference on Machine Learning.Berlin,2015:97-105.