Research on Modular Design of Perpendicular Jointed Industrial Robots. - Lin Song; Suixian Yang (ICIRA (1), 2011)

Learning Attention Representation with a Multi-Scale CNN for Gear Fault Diagnosis under Different Working Conditions. - Yong Yao 003; Sen Zhang 003; Suixian Yang; Gui Gui (Sensors, 2020)

A Recursive Denoising Learning for Gear Fault Diagnosis Based on Acoustic Signal in Real Industrial Noise Condition. - Yong Yao 003; Gui Gui; Suixian Yang; Sen Zhang 003 (IEEE Trans. Instrum. Meas., 2021)

A hierarchical adversarial multi-target domain adaptation for gear fault diagnosis under variable working condition based on raw acoustic signal. - Yong Yao 003; Qiuyi Chen; Gui Gui; Suixian Yang; Sen Zhang 003 (Eng. Appl. Artif. Intell., 2023)

A Novel Short-Memory Sequence-Based Model for Variable-Length Reading Recognition of Multi-Type Digital Instruments in Industrial Scenarios. - Shenghan Wei; Xiang Li 053; Yong Yao 003; Suixian Yang (Algorithms, 2023)

A recursive multi-head self-attention learning for acoustic-based gear fault diagnosis in real-industrial noise condition. - Yong Yao 003; Gui Gui; Suixian Yang; Sen Zhang 003 (Eng. Appl. Artif. Intell., 2024)

A Novel Acoustic-Based Framework for Compound Fault Diagnosis in Rotating Machinery With Limited Samples. - Fengmiao Tu; Tangli Zhang; Tao Liu; Dingcheng Zhang; Suixian Yang (IEEE Trans. Instrum. Meas., 2025)