ZHANG Chun yan, WANG Jian quan

(School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

 

Abstract: Aiming at the problems of the increasing electric fire in recent years and the imperfect fire warning system, after the analys is of the fault arc voltage and current waveform, the electrical fire intelligent algorithm based on Cassiearc model was proposed.The neural network intelligent algorithm analysis fault current waveform was applied and the relationship of arc fault current waveform and the fault arc calorific value was established. In the wise type safe management platform, the arc current waveform was achieved and the arc calorific value was calculated, it can forecast the electrical fire according to the arc calorific value. The simulation experiments of arc fault model were carried out. The results show that 1 000 groups of data, only two groups are in misjudge. The neural network intelligent algorithm can be used to forecast the electrical fire.

Key words: cassie arc model; Fourier transform; artificial neural network; intelligence electricity safety platform