A two-stage anomaly decomposition scheme based on multi-variable correlation extraction for wind turbine fault detection and identification

•• Underlying causes of anomaly are identified for wind turbines.•• The Co-NBM method is proposed for WT fault detection based on SCADA data.•• Fault locations could be identified by the first-stage decomposition.•• Underlying causes of the anomalies are determined by the second-stage decomposition.