Research on Intelligent Optimization Algorithm for the Hot Press Insulation of Generator Stator Bar

Abstract:

As the heart of generator, stator bar’s production quality will directly influence the whole generator’s quality. We researched heating and solidification process of stator bar at the beginning to clarify the relationship between heating time and temperature. BP neural network toolbox in MATLAB platform was used to build neural network model which will relatively accurate estimate bar’s resistance with four process parameters. Through the resistance, people can find out the best technological parameters before actually production. We used some data collected from one factory as learning data. Others were test data, used to illustrate the rationality of the model, which can forecast insulation resistance value in later production, finding the optimal process parameters.

• Periodical: Applied Mechanics and Materials (Volume 868)
• Pages: 265-270
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.868.265
• Online since: July 2017
• Authors: Xiao Dong Tan, Ling Hao Kong, Dao Ru Li
• Keywords: BP Neural Network Algorithm, MATLAB, Solidification, Stator Bar

References

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