Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks. - Jinrui Wang; Shunming Li; Baokun Han; Zenghui An; Huaiqian Bao; Shanshan Ji (IEEE Access, 2019)

Adaptive Reinforced Empirical Morlet Wavelet Transform and Its Application in Fault Diagnosis of Rotating Machinery. - Yu Xin; Shunming Li; Zongzhen Zhang; Zenghui An; Jinrui Wang (IEEE Access, 2019)

Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method. - Zenghui An; Shunming Li; Jinrui Wang; Yu Xin; Kun Xu (Neurocomputing, 2019)

Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines. - Jinrui Wang; Shunming Li; Zenghui An; Xingxing Jiang; Weiwei Qian; Shanshan Ji (Neurocomputing, 2019)

Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working Conditions. - Zenghui An; Shunming Li; Xingxing Jiang; Yu Xin; Jinrui Wang (IEEE Access, 2020)

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 renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples. - Kun Xu; Shunming Li; Xingxing Jiang; Zenghui An; Jinrui Wang; Tianyi Yu (Neurocomputing, 2020)

Sparse filtering based domain adaptation for mechanical fault diagnosis. - Zhongwei Zhang; Huaihai Chen; Shunming Li; Zenghui An (Neurocomputing, 2020)

A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition. - Zhongwei Zhang; Huaihai Chen; Shunming Li; Zenghui An; Jinrui Wang (Neurocomputing, 2020)

Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis. - Zongzhen Zhang; Shunming Li; Jinrui Wang; Yu Xin; Zenghui An; Xingxing Jiang (Neurocomputing, 2020)

Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data. - Zenghui An; Xingxing Jiang; Jing Cao; Rui Yang 026; Xuegang Li (Knowl. Based Syst., 2021)

Multilayer Extreme Learning Convolutional Feature Neural Network Model for the Weak Feature Classification and Status Identification of Planetary Bearing. - Rui Yang; Zenghui An; Shijun Song (J. Sensors, 2022)

Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions. - Zenghui An; Xingxing Jiang; Rui Yang 026; Hanyuan Zhang; Jie Liu 017; Changqing Shen (IEEE Trans. Ind. Informatics, 2023)

Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions. - Zenghui An; Xingxing Jiang; Jie Liu 017 (IEEE Trans. Ind. Informatics, 2024)