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计算机系统应用英文版:2011,20(9):252-255

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基于神经网络的多电梯运行系统故障预测

段登, 邱意敏, 周力

(安徽工程大学电气工程学院,芜湖 241000)

Fault Predication of Multi-Elevator Operating System Based on Neural Network

DUAN Deng, QIU Yi-Min, ZHOU Li

(Department of Electronic Engineering, Anhui Polytechnic University, Wuhu 231000, China)

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本文已被：浏览 1690次下载 3853次
Received:May 12, 2011 Revised:June 13, 2011

中文摘要: 利用RBF 神经网络可以快速逼近任意非线性函数及良好分类能力的特点,进行多电梯运行系统故障的预测,提出了故障预测方法.仿真结果表明该方法是可行的,可以广泛应用于多电梯故障预测.

中文关键词: RBF 多电梯运行系统故障预测

Abstract:The paper studies how to use RBF neural network which can approximate any nonl-inear functions quickly and has good characteristics of the classification ability for multi-elevator operating system failure prediction, and proposed failure prediction method. The simulation results show that the method is feasible and can be widely used in multi-elevator failure prediction.

keywords: RBF multi-elevator operating system fault predication

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基金项目:安徽省教育厅自然科学重点科研项目(2006KJ017A);芜湖市科技局的科研项目([2009]190)

Author Name	Affiliation
DUAN Deng	Department of Electronic Engineering, Anhui Polytechnic University, Wuhu 231000, China
QIU Yi-Min	Department of Electronic Engineering, Anhui Polytechnic University, Wuhu 231000, China
ZHOU Li	Department of Electronic Engineering, Anhui Polytechnic University, Wuhu 231000, China

Author Name	Affiliation
DUAN Deng	Department of Electronic Engineering, Anhui Polytechnic University, Wuhu 231000, China
QIU Yi-Min	Department of Electronic Engineering, Anhui Polytechnic University, Wuhu 231000, China
ZHOU Li	Department of Electronic Engineering, Anhui Polytechnic University, Wuhu 231000, China

引用文本：
段登,邱意敏,周力.基于神经网络的多电梯运行系统故障预测.计算机系统应用,2011,20(9):252-255
DUAN Deng,QIU Yi-Min,ZHOU Li.Fault Predication of Multi-Elevator Operating System Based on Neural Network.COMPUTER SYSTEMS APPLICATIONS,2011,20(9):252-255