The following publications are possibly variants of this publication:
- A Novel Data-Driven Fault Feature Separation Method and Its Application on Intelligent Fault Diagnosis Under Variable Working ConditionsShunming Li, Zenghui An, Jiantao Lu. access, 8:113702-113712, 2020. [doi]
- A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditionsZheng Wang, Qingxiu Liu, Hansi Chen, Xuening Chu. ijpr, 59(16):4811-4825, 2021. [doi]
- Relationship Transfer Domain Generalization Network for Rotating Machinery Fault Diagnosis Under Different Working ConditionsQuan Qian, Jianghong Zhou, Yi Qin 0004. tii, 19(9):9898-9908, 2023. [doi]
- Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working ConditionsZenghui An, Shunming Li, Xingxing Jiang, Yu Xin, Jinrui Wang. access, 8:535-546, 2020. [doi]