Artificial intelligence based abnormal detection system and method for wind power equipment

Author:

Ding Xian,Gong Yongli,Wang Chaodong,Zheng Zhishuai

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics

Reference19 articles.

1. Probabilistic anomaly detection approach for data-driven wind turbine condition monitoring;Zhang;CSEE J. Power Energy Syst.,2019

2. Combining SCADA and vibration data into a single anomaly detection model to predict wind turbine component failure;Turnbull;Wind Energy,2021

3. Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour models;Letzgus;Wind Energy Sci.,2020

4. Wind turbine gearbox anomaly detection based on adaptive threshold and twin support vector machines;Dhiman Harsh;IEEE Trans. Energy Convers.,2021

5. Wind turbines anomaly detection based on power curves and ensemble learning;Moreno Sinvaldo;IET Renew. Power Gener.,2020

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