Novel Condition Monitoring Method for Wind Turbines Based on the Adaptive Multivariate Control Charts and SCADA Data

Application of Multivariate Control Charts for Condition Based Maintenance

Condition monitoring is the foundation of a condition based maintenance (CBM). To relate the information obtained from the condition monitoring to the actual state of the system, it is usually required a stochastic model. On the other hand, considering the interactions and similarities that exist between CBM and statistical process control (SPC), the integrated models for CBM and SPC have been ...

SCADA-Data Analysis for Condition Monitoring of Wind Turbines Master’s thesis in Energy Engineering

Wind energy, the world’s fastest growing renewable energy technology, is developing towards a major utility source. Turbines are growing in size and are located in more remote sites, sometimes even offshore, to benefit from better wind conditions. These developments help to maximize the output per turbine but come with challenges for operation and maintenance (O&M). Unexpected failures result i...

Study on Parameters Modeling of Wind Turbines Using SCADA Data

Taking the advantage of the current massive monitoring data from Supervisory Control and Data Acquisition (SCADA) system of wind farm, it is of important significance for anomaly detection, early warning and fault diagnosis to build the data model of state parameters of wind turbines (WTs). The operational conditions and the relationships between the state parameters of wind turbines are comple...

Monitoring Wind Turbine Vibration Based on SCADA Data

Three models for detecting abnormalities of wind turbine vibrations reflected in time domain are discussed. The models were derived from the supervisory control and data acquisition (SCADA) data collected at various wind turbines. The vibration of a wind turbine is characterized by two parameters, i.e., drivetrain and tower acceleration. An unsupervised data-mining algorithm, the k-means cluste...

Online Nonintrusive Condition Monitoring and Fault Detection for Wind Turbines