A Novel Underdetermined Blind Source Separation Method and Its Application to Source Contribution Quantitative Estimation. - Jiantao Lu; Wei Cheng; Yanyang Zi (Sensors, 2019)

A Novel Data-Driven Fault Feature Separation Method and Its Application on Intelligent Fault Diagnosis Under Variable Working Conditions. - Shunming Li; Zenghui An; Jiantao Lu (IEEE Access, 2020)

A Novel Unsupervised Learning Method Based on Cross-Normalization for Machinery Fault Diagnosis. - Zongzhen Zhang; Shunming Li; Jiantao Lu; Jinrui Wang; Xingxing Jiang (IEEE Access, 2020)

A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism. - Kun Xu; Shunming Li; Xingxing Jiang; Jiantao Lu; Tianyi Yu; Ranran Li (Knowl. Based Syst., 2021)

A Novel Symmetric Stacked Autoencoder for Adversarial Domain Adaptation Under Variable Speed. - Ranran Li; Shunming Li; Kun Xu; Xianglian Li; Jiantao Lu; Mengjie Zeng (IEEE Access, 2022)

Adaptive nearest neighbor reconstruction with deep contractive sparse filtering for fault diagnosis of roller bearings. - Weiwei Qian; Shunming Li; Jiantao Lu (Eng. Appl. Artif. Intell., 2022)

Deep Sparse Topology Network for Robust Bearing Fault Diagnosis by Maximizing Prior Knowledge Functions. - Weiwei Qian; Shunming Li; Jiantao Lu (IEEE Trans. Ind. Informatics, 2022)

Rolling Bearing Composite Fault Diagnosis Method Based on Enhanced Harmonic Vector Analysis. - Jiantao Lu; Qitao Yin; Shunming Li (Sensors, 2023)

An Improved Underdetermined Blind Source Separation Method for Insufficiently Sparse Sources. - Jiantao Lu; Weiwei Qian; Qitao Yin; Kun Xu; Shunming Li (Circuits Syst. Signal Process., 2023)

A modified active learning intelligent fault diagnosis method for rolling bearings with unbalanced samples. - Jiantao Lu; Wei Wu; Xin Huang; Qitao Yin; Kuangzhi Yang; Shunming Li (Adv. Eng. Informatics, 2024)