A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems

By Wei Qiao, Dingguo Lu. IEEE transactions on industrial electronics (1982. Print), 2015

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Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey (2019, background): “This approach can not only minimize maintenance costs but can also extend the useful life of the equipment [25].”
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0 (2020, background): “Their study conducted linear and quadratic regression models to perform the design application for RUL estimation.”
Automated Bearing Fault Diagnosis Using 2D Analysis of Vibration Acceleration Signals under Variable Speed Conditions (2016, background): “According to a recent study, gearbox bearings cause the longest downtime per failure in wind turbines [4, 5].”
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox (2019, background): “Gearbox, as a critical component in WTs, often suffers from various failures, such as bearing damage, tooth breakage, and gear crack, and has shown high failure rates and resulted in high maintenance costs [2] due to its long downtimes and complex repair procedures.”