Using Neural Networks for Simulating and Predicting Core-End Temperatures in Electrical Generators: Power Uprate Application
Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53751#.VNHLrCzQrzE Author(s) Carlos J. Gavilán Moreno Affiliation(s) Cofrentes Nuclear Power Plant, Iberdrola Generación Nuclear, Valencia, Spain . ABSTRACT Power uprates pose a threat to electrical generators due to possible parasite effects that can develop potential failure sources with catastrophic consequences in most cases. In that sense, it is important to pay close attention to overheating, which results from excessive system losses and cooling system inefficiency. The end region of a stator is the most sensitive part to overheating. The calculation of magnetic fields, the evaluation of eddy-current losses and the determination of loss-derived temperature increases, are challenging problems requiring the use of simulation methods. The most usual methodology is the finite element method, or linear regression. In order to address this methodol...