A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural Networks. - Jingli Yang; Shuangyan Yin; Yongqi Chang; Tianyu Gao 002 (Sensors, 2020)

A Dual-input Fault Diagnosis Model Based on Convolutional Neural Networks and Gated Recurrent Unit Networks for Analog Circuits. - Tianyu Gao 002; Jingli Yang; Shouda Jiang; Cheng Yang (I2MTC, 2021)

A Novel Fault Diagnosis Method for Analog Circuits Based on Conditional Variational Neural Networks. - Tianyu Gao 002; Jingli Yang; Shouda Jiang; Ge Yan 003 (Circuits Syst. Signal Process., 2021)

A novel fault diagnosis method for analog circuits with noise immunity and generalization ability. - Tianyu Gao 002; Jingli Yang; Shouda Jiang (Neural Comput. Appl., 2021)

A Novel Incipient Fault Diagnosis Method for Analog Circuits Based on GMKL-SVM and Wavelet Fusion Features. - Tianyu Gao 002; Jingli Yang; Shouda Jiang (IEEE Trans. Instrum. Meas., 2021)

An Efficient Method for Monitoring Degradation and Predicting the Remaining Useful Life of Mechanical Rotating Components. - Jingli Yang; Shuangyan Yin; Yongqi Chang; Tianyu Gao 002; Cheng Yang (IEEE Trans. Instrum. Meas., 2021)

A novel convolutional neural network with interference suppression for the fault diagnosis of mechanical rotating components. - Jingli Yang; Shuangyan Yin; Chao Sun; Tianyu Gao 002 (Neural Comput. Appl., 2022)

Energy-Based Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Electro-Mechanical Systems. - Jingli Yang; Tianyu Gao 002; Shouda Jiang (IEEE Trans. Instrum. Meas., 2022)

A Dual-input Fault Diagnosis Model Based on SE-MSCNN for Analog Circuits. - Jingli Yang; Tianyu Gao 002; Shouda Jiang (Appl. Intell., 2023)

A Novel Fault Detection Model Based on Vector Quantization Sparse Autoencoder for Nonlinear Complex Systems. - Tianyu Gao 002; Jingli Yang; Shouda Jiang (IEEE Trans. Ind. Informatics, 2023)

Incipient fault dataset for analog circuits. - Tianyu Gao 002 (IEEE DataPort, 2023)

A fault location method based on ensemble complex spatio-temporal attention network for complex systems under fluctuating operating conditions. - Jingli Yang; Tianyu Gao 002; Ge Yan 003; Cheng Yang; Gangqiang Li (Appl. Soft Comput., 2023)

A Multi-Source Domain Generalization Network for Rotating Machinery Fault Diagnosis under Unseen Operating Conditions. - Tianyu Gao 002; Jingli Yang; Weiwei Hao; Xiaopeng Fan (INDIN, 2024)

A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions. - Tianyu Gao 002; Jingli Yang; Qing Tang (Inf. Fusion, 2024)

A domain feature decoupling network for rotating machinery fault diagnosis under unseen operating conditions. - Tianyu Gao 002; Jingli Yang; Wenmin Wang 005; Xiaopeng Fan (Reliab. Eng. Syst. Saf., 2024)

A Novel Incipient Fault Diagnosis Method for Analogue Circuits Based on an MLDLCN. - Xiaodong Liu; Haochi Yang; Tianyu Gao 002; Jingli Yang (Circuits Syst. Signal Process., 2024)

An Incipient Fault Diagnosis Method Based on Complex Convolutional Self-Attention Autoencoder for Analog Circuits. - Tianyu Gao 002; Jingli Yang; Shouda Jiang; Ye Li (IEEE Trans. Ind. Electron., 2024)

Addressing unknown faults diagnosis of transport ship propellers system based on adaptive evolutionary reconstruction metric network. - Changdong Wang 002; Xiaofei Liu; Jingli Yang; Huamin Jie; Tianyu Gao 002; Zhenyu Zhao 001 (Adv. Eng. Informatics, 2025)

A multi-source domain feature-decision dual fusion adversarial transfer network for cross-domain anti-noise mechanical fault diagnosis in sustainable city. - Changdong Wang 002; Huamin Jie; Jingli Yang; Tianyu Gao 002; Zhenyu Zhao 001; Yongqi Chang; Kye Yak See (Inf. Fusion, 2025)

A Progressive Network With Multiple Classifiers for Fault Diagnosis of Rotating Machinery Under Limited Sample Conditions. - Zedong Ju; Yinsheng Chen; Jingli Yang; Tianyu Gao 002 (IEEE Trans. Instrum. Meas., 2025)

A Hybrid Fault Diagnosis Framework Based on Test Stimulus Optimization and MPCNN for Analog Circuits. - Xiaodong Liu; Haochi Yang; Tianyu Gao 002; Jingli Yang (IEEE Trans. Instrum. Meas., 2025)

A Self-Supervised Multiview Contrastive Learning Network for the Fault Diagnosis of Rotating Machinery Under Limited Annotation Information. - Yonghui Xu; Xiang Lu; Tianyu Gao 002; Ruotong Meng (IEEE Trans. Instrum. Meas., 2025)