A method of monitoring an electrical machine, wherein the method includes: a) obtaining temperature measurement values of the temperature at a plurality of locations of the electrical machine, b) obtaining estimated temperatures at the plurality of locations given by a thermal model of the electrical machine, the thermal model including initial weight parameter values, c) minimizing a difference between the temperature measurement values and the estimated temperatures by finding optimal weight parameter values, d) storing the initial weight parameter values to thereby obtain a storage of used weight parameter values, and updating the optimal weight parameter values as new initial weight parameter values, and repeating steps a)-d) over and over during operation of the electrical machine.

Systems and approaches for error detection detect discrepancies in industrial equipment by comparing a particular asset to similar industrial assets running in parallel to the particular asset. An error detection unit detects a difference between an estimated and actual output of the asset. Based on the magnitude of the difference, the error detection unit determines whether an input value of the particular asset is similar to input values of the plurality of industrial assets and whether an output value of the particular asset is similar to output values of the plurality of industrial assets. If the input value of the particular asset is similar to the input values of the plurality of industrial assets and the output value of the particular asset is not similar to the output values of the plurality of industrial assets, then the error detection system sets an alarm. However, if the input value of the particular asset is not similar to the input values of the plurality of industrial assets, the error detection system considers whether to adapt the process model for the particular asset to account for a new process state or condition not considered when creating the process model for the particular asset.

Systems and approaches for error detection detect discrepancies in industrial equipment by comparing a particular asset to similar industrial assets running in parallel to the particular asset. An error detection unit detects a difference between an estimated and actual output of the asset. Based on the magnitude of the difference, the error detection unit determines whether an input value of the particular asset is similar to input values of the plurality of industrial assets and whether an output value of the particular asset is similar to output values of the plurality of industrial assets. If the input value of the particular asset is similar to the input values of the plurality of industrial assets and the output value of the particular asset is not similar to the output values of the plurality of industrial assets, then the error detection system sets an alarm. However, if the input value of the particular asset is not similar to the input values of the plurality of industrial assets, the error detection system considers whether to adapt the process model for the particular asset to account for a new process state or condition not considered when creating the process model for the particular asset.