6 papers
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…
Multimodal Benchmark for Safety Assessment in Industrial Inspection Scenarios
Zeyi Liu, Shuang Liu, Jihai Min +7
With the rapid development of industrial intelligence and unmanned inspection, reliable perception and safety assessment for AI systems in complex and dynamic industrial sites has…
Replay-guided Test-time Adaptation for Fault Diagnosis Under Unseen Operating Conditions
Yakun Wang, Pengyu Han, Zeyi Liu +3
In modern industrial systems, machinery frequently operates under dynamic environments with continuously varying loads and speeds. Consequently, deep learning-based fault diagnosis…
Awesome-OL: An Extensible Toolkit for Online Learning
Zeyi Liu, Songqiao Hu, Pengyu Han +2
In recent years, online learning has attracted increasing attention due to its adaptive capability to process streaming and non-stationary data. To facilitate algorithm development…
Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis
Pengyu Han, Zeyi Liu, Shijin Chen +2
Multi-condition fault diagnosis is prevalent in industrial systems and presents substantial challenges for conventional diagnostic approaches. The discrepancy in data distributions…
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…