Signal-Transformer: A Robust and Interpretable Method for Rotating Machinery Intelligent Fault Diagnosis Under Variable Operating Conditions. - Jian Tang; Guanhui Zheng; Chao Wei 011; Wenbing Huang 001; Xiaoxi Ding (IEEE Trans. Instrum. Meas., 2022)

An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis. - Jian Tang; Qihang Wu; Xiaobo Li; Chao Wei 011; Xiaoxi Ding; Wenbing Huang 001; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

Single-domain incremental generation network for machinery intelligent fault diagnosis under unknown working speeds. - Yuanyue Pu; Jian Tang; Xuegang Li; Chao Wei 011; Wenbin Huang 002; Xiaoxi Ding (Adv. Eng. Informatics, 2024)

A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples. - Jian Tang; Jiawei Xiao; Wentao Chen; Xuegang Li; Chao Wei 011; Xiaoxi Ding; Wenbing Huang 001 (Eng. Appl. Artif. Intell., 2024)

HmmSeNet: A Novel Single Domain Generalization Equipment Fault Diagnosis Under Unknown Working Speed Using Histogram Matching Mixup. - Jian Tang; Xiaoxi Ding; Chao Wei 011; Jiawei Xiao; Rui Liu 036; Liming Wang; Wenbin Huang 002 (IEEE Trans. Ind. Informatics, 2024)