@inproceedings{a87100ee440f4ab2883d7e8d7979ab18,
title = "Power quality disturbances events recognition based on S-transform and probabilistic neural network",
abstract = "Power quality (PQ) events recognition is the most important research area of power quality control. A novel high performance classification system based on S-transform and probabilistic neural network is proposed in this paper. Firstly, S-transform processes the original PQ signals into a complex matrix named S-matrix. The time and frequency features of disturbances signal are extracted from the S-matrix. Then, the selected subset of features is used as the input vector of the classifier. Finally, the probabilistic neural network classifier is trained and tested by the simulated simples. The simulation results show the effectiveness of the new approach.",
keywords = "S-transform, power quality (PQ), power quality disturbances, probabilistic neural network",
author = "Nantian Huang and Xiaosheng Liu and Dianguo Xu and Jiajin Qi",
year = "2010",
doi = "10.1007/978-3-642-15853-7\_26",
language = "英语",
isbn = "3642158528",
series = "Communications in Computer and Information Science",
number = "PART 1",
pages = "207--212",
booktitle = "Life System Modeling and Intelligent Computing - Int. Conf. on Life System Modeling and Simulation, LSMS 2010 and Int. Conf. on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010",
edition = "PART 1",
note = "2010 International Conference on Life System Modeling and Simulation, LSMS 2010 and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 ; Conference date: 17-09-2010 Through 20-09-2010",
}