2 citations · 7 across the 17 of their papers we have counts for
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Fault Diagnosis of Dynamic Systems Under Unknown Operating Conditions: A Condition-Guided Selective Adaptation Approach
Jiaming Liu, Zeyi Liu, Hongshuo Zhao +2
Fault diagnosis under unknown operating conditions remains challenging for dynamic industrial systems, as the distribution shift caused by changing operating conditions can signifi…
Asymmetric Adaptation-based Real-time Fault Diagnosis Under Transitional Operating Conditions
Hongshuo Zhao, Zeyi Liu, Xiao He
Data streams in real-world industrial scenarios often contain transitional operating conditions that are uncovered during offline training, leading to significant distribution shif…
Multi-mode Fault Diagnosis Datasets of Three-phase Asynchronous Motor Under Variable Working Conditions
Shijin Chen, Zeyi Liu, Chenyang Li +3
Three-phase asynchronous motor are fundamental components in industrial systems, and their failure can lead to significant operational downtime and economic losses. Vibration and c…
Towards Next-Generation Intelligent Maintenance: Collaborative Fusion of Large and Small Models
Xiaoyi Yuan, Qiming Huang, Mingqing Guo +4
With the rapid advancement of intelligent technologies, collaborative frameworks integrating large and small models have emerged as a promising approach for enhancing industrial ma…
Multi-Condition Fault Diagnosis of Dynamic Systems: A Survey, Insights, and Prospects
Pengyu Han, Zeyi Liu, Xiao He +2
With the increasing complexity of industrial production systems, accurate fault diagnosis is essential to ensure safe and efficient system operation. However, due to changes in pro…
Multi-mode Fault Diagnosis Datasets of Gearbox Under Variable Working Conditions
Shijin Chen, Zeyi Liu, Xiao He +2
The gearbox is a critical component of electromechanical systems. The occurrence of multiple faults can significantly impact system accuracy and service life. The vibration signal…