Validity Evaluation of Wind Turbine Monitoring Data by Correlative Coupling Relationship
Source abstract
Abstract
In addressing the potential anomalies in wind turbine monitoring data, it is essential to note that a single data source cannot independently ascertain the validity of data. This paper proposes a correlation coupling judgment algorithm designed to evaluate the validity of wind turbine monitoring data. By quantitatively analyzing the degree of correlation between various sensor data using the Pearson correlation coefficient, this study reveals that data characteristics significantly influence the correlation coefficient. The analysis also examines the effects of filtering, signal phase differences, and interference signals on correlation. The results indicate that effective data preprocessing, can dramatically enhance correlation, while phase shifts and noise interference significantly degrade it. Identifying and mitigating these interfering signals is thus established as a crucial prerequisite for defining reliable correlation criteria. Therefore, this study demonstrates that effective data preprocessing is a necessary step for any correlation-based validity assessment framework.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Remote Sensing and LiDAR Applications · Advanced Decision-Making Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, Shanghai 200090, China
Shanghai Non-Carbon Energy Conversion and Utilization Institute, Shanghai 200240, China
Engineering Research Center of Offshore Wind Technology Ministry of Education, Shanghai University of Electric Power, Shanghai 200090, China
Funding
National Key R & D Program of China · Science and Technology Commission of Shanghai Municipality · non-carbon energy conversion and utilization institute under the Shanghai Class IV Peak Disciplinary Development Program
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