@inproceedings{7f298a959027428d8f7701deeb59e6e1,
title = "An analog circuit diagnosis algorithm based on dual-loop Volterra filter",
abstract = "Fault diagnosis algorithm is an important part of power circuit. In order to improve the reliability of power circuit, this paper proposed a novel fault diagnosis algorithm with the dual-loop of Volterra filter. The algorithm utilized the dual-loop of Volterra filter to optimal the parameters of power circuit and remove the noise, then, predict the fault in power circuit by the revised parameters. The simulation show that our proposed algorithm have better convergence speed, training time and the accuracy than the neural network fault diagnosis algorithm and the particle swarm fault diagnosis algorithm.",
keywords = "dual-loop, fault diagnosis, power circuit, Volterra filter",
author = "Chengkai Tang and Zhanrong Jing and Yi Zhang and Yan Yang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 ; Conference date: 05-08-2016 Through 08-08-2016",
year = "2016",
month = nov,
day = "22",
doi = "10.1109/ICSPCC.2016.7753685",
language = "英语",
series = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
}