data quality assessment 1entropy metrics 1machine learning 1vibration measurement 1wind turbine condition monitoring 1
From the 1 of 3 linked papers with an AI index.
3 papers
eess.SP2026
Multi-Dimensional Entropy for Vibration Data Quality Control in Wind Turbines: Properties, Deployment, and Industrial Implications
Deshui Li, Xiao-Ming Yuan, Zishun Wang +1
Erroneous vibration signals caused by sensor malfunction, shutdown transients, and abnormal acquisition conditions can degrade the reliability of automated industrial monitoring pi…
eess.SP2026
Multi-Dimensional Entropy for Vibration Measurement Data Quality Assessment and Erroneous Signal Identification in Wind Turbines
Xiao-Ming Yuan, Zishun Wang, Donghui Zhao +2
The paper introduces a Multi-Dimensional Entropy (MDE) metric that evaluates the quality of vibration measurements in wind turbines by analyzing time‑domain, spectral, and frequenc…
cs.AI2026
Industrial Tokenization for LLM-Based Health Intelligence: A Federated Architecture for Industrial Evidence Integration
Deshui Li, Xiao-Ming Yuan, Zishun Wang
Industrial health management increasingly relies on heterogeneous information sources, including condition monitoring systems, supervisory control and data acquisition systems, mai…