Abstract: A method of monitoring thermal parameters of a thermal model of an electrical machine, the method including: a) updating thermal parameter values of the thermal model based on temperature measurements of the electrical machine, b) estimating future values of the thermal parameters based on the updated thermal parameter values by means of a degradation model, which takes past behaviour of the thermal parameters into account, and c) determining a future degradation and/or a remaining useful life of the electrical machine based on the future values.

Abstract: A method of generating, from a first thermal model describing the individual thermal behaviour of an electrical machine and a second thermal model describing the individual thermal behaviour of a device, a composite thermal model describing the thermal behaviour of a system having the electrical machine connected to the device, the method including: a) connecting at least one geometric entity of one of the first thermal model and the second thermal model to a plurality of geometric entities of the other one of the first thermal model and the second thermal model, each connection including at least one of a heat source and a thermal impedance, wherein the first thermal model and the second thermal model connected to each other form an initial composite thermal model, b) comparing measured temperatures with corresponding estimated temperatures obtained from the initial composite thermal model, and in case an estimated temperature deviates with more than a threshold value from a measured temperature, c) adjustin

Abstract: 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.