Research on Bearing Fault Diagnosis Method Based on an Adaptive Anti-Noise Network under Long Time Series. - Changdong Wang 002; Hongchun Sun; Rong Zhao; Xu Cao (Sensors, 2020)

A novel Brownian correlation metric prototypical network for rotating machinery fault diagnosis with few and zero shot learners. - Jingli Yang; Changdong Wang 002; Chang'an Wei (Adv. Eng. Informatics, 2022)

An adaptive anti-noise gear fault diagnosis method based on attention residual prototypical network under limited samples. - Hongchun Sun; Changdong Wang 002; Xu Cao (Appl. Soft Comput., 2022)

An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain. - Changdong Wang 002; Jingli Yang; Huamin Jie; Bowen Tian; Zhenyu Zhao 001; Yongqi Chang (Adv. Eng. Informatics, 2024)

Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noise. - Changdong Wang 002; Bowen Tian; Jingli Yang; Huamin Jie; Yongqi Chang; Zhenyu Zhao 001 (Reliab. Eng. Syst. Saf., 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)

An Energy-Efficient Mechanical Fault Diagnosis Method Based on Neural-Dynamics-Inspired Metric SpikingFormer for Insufficient Samples in Industrial Internet of Things. - Changdong Wang 002; Jingli Yang; Huamin Jie; Zhenyu Zhao 001; Wensong Wang (IEEE Internet Things J., 2025)

Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosis. - Changdong Wang 002; Zhou Shu; Jingli Yang; Zhenyu Zhao 001; Huamin Jie; Yongqi Chang; Shiqi Jiang; Kye Yak See (IEEE Trans. Cybern., 2025)