The Application of Compound Method in On-line Monitoring System to Predict and Judge Transformer Fault
This paper put forward a compound method to predict and judge the faults of transformer from the gas that dissolved in oil. First, the database system was developed to store the data of gases that was timing collected from senior machine. Then, the improved grey model would read the data after it filtered, calculate and forecast an equal interval one. At the same time, the residual error and the corrected parameters was formed. The new data and the corrected parameter were read and computed by the self-learning neural networks, and the final predicted value was formed. And then another neural network judgment system would read the value, and locate the type of faults.
Jixing Sun Guangning Wu Lijun Zhou Jun Liu Debin Wen Peidong Du Xin Wang
School of Electrical Engineering Southwest Jiao tong University, Chengdu 610031, China
国际会议
西安
英文
304-307
2011-10-23（万方平台首次上网日期，不代表论文的发表时间）