Online anomaly detection of high speed trains engines by the use of real time measured signals and computational intelligence

In this work a condition monitoring tool is presented that accomplishes for predictive diagnostic of motor faults. In particular, a multivariate control chart is implemented by using the Hotelling’s t-squared statistic. The state of the four motors is observed by a continuous measurement of sixteen temperatures, and the multivariate control...