The trend towards larger wind turbines and remote locations of farms fuels the demand for automated condition monitoring strategies that can reduce operating cost avoid unplanned downtime. Normal behaviour modelling has been introduced to detect anomalous deviations from normal operation based on turbine’s SCADA data. A growing number machine learning models turbine subsystems are being develop...

We study the log-likelihood function and maximum likelihood estimate (MLE) for matrix normal model both real complex models. describe exact number of samples needed to achieve (almost surely) three conditions, namely a bounded function, existence MLEs, uniqueness MLEs. As consequence, we observe that almost sure boundedness guarantees an MLE, thereby proving conjecture Drton, Kuriki, Hoff [Exis...