A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku et al. · 2018 · 2.2K citations

Computing, Computer Science, Computer Vision +10

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Zhibin Zhao, Tianfu Li, Jingyao Wu et al. · ISA Transactions · 2020 · 634 citations · Full text

Computing, Computer Science, Mechanical Engineering +16

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

Yongchun Zhu, Fuzhen Zhuang, Deqing Wang · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 383 citations · Full text

Computing, Computer Science, Data Mining +10

Deep discriminative transfer learning network for cross-machine fault diagnosis

Quan Qian, Yi Qin, Jun Luo et al. · Mechanical Systems and Signal Processing · 2022 · 356 citations

Computing, Computer Science, Fault-tolerant Computing +13

A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance

Haidong Shao, Jing Lin, Liangwei Zhang et al. · Information Fusion · 2021 · 307 citations

Engineering, Industrial Engineering, Systems Engineering +16