Title :
Research on the forecast of the limited temperature rise of motor based on artificial neural network
Author :
Qiy, Guo ; Shize, Huang ; Yuping, Guo ; Jingtai, Hu
Author_Institution :
Electronic and Information Engineer College, Tongji University, Shanghai, china
Abstract :
This article introduce a system based on neutral nekwork. It can estimate the limit temperature rise time of the asynchronous motor. The system avoids the defects of existing motor thermal overload protection methods. Use amount of data to verify the intelligent system can estimate the time from start status to limit temperature status.
Keywords :
Artificial neural networks; Automation; Educational institutions; Electronic mail; Industries; Intelligent systems; motor; neutral network; overload protection; temperature rise;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5689681
