###

计算机系统应用英文版:2016,25(6):119-124

View/Add Comment 过刊浏览高级检索 HTML

←前一篇 | 后一篇→

码上扫一扫！

下载全文

基于模糊隶属度的粒子滤波故障预测

林品乐^1,2, 王开军^1,2

(1.福建师范大学数学与计算机科学学院, 福州 350007;2.福建师范大学福建省网络安全与密码技术重点实验室, 福州 350007)

Particle Filter Fault Prediction Based on Fuzzy Membership Degree

LIN Pin-Le^1,2, WANG Kai-Jun^1,2

(1.Fujian Normal University, Mathematics and Computer Science College, Fuzhou 350007, China;2.Fujian Normal University, Fujian Province Network Security and Cryptography Laboratory, Fuzhou 350007, China)

摘要

图/表

参考文献

相似文献

本文已被：浏览 1469次下载 2302次
Received:September 26, 2015 Revised:November 19, 2015

中文摘要: 针对故障预测具有不确定性的特点,本文将模糊数学中的隶属度函数和粒子滤波算法相结合设计故障预测的方法.新方法利用粒子滤波算法对设备运行的未来状态进行预测,再设计描述设备运行状态的正常隶属度函数和异常隶属度函数,利用计算出的未来状态的预测值计算并比较正常和异常隶属度函数值,依据比较结果对潜在故障进行预测.实验验证了该方法的可行性,可及时准确地预测出系统故障.

中文关键词: 正常隶属度异常隶属度粒子滤波故障预测状态空间模型

Abstract:As fault prediction has the characteristics of uncertainty, we design a method for fault prediction, which combines fuzzy mathematics membership function with particle filter algorithm to predict fault. The new method uses particle filter algorithm to calculate the future state of the device operation, and then designs the normal membership function and the abnormal membership function of the device operation state, calculates and compares the value of the normal and abnormal membership function by using the calculated results and based on the comparison result to predict potential failure. The feasibility of the proposed method is verified by experiments, which can predict the failure of the system in time.

keywords: normal membership degree abnormal membership degree particle filter fault prediction state space model

文章编号： 中图分类号： 文献标志码：

基金项目:

Author Name	Affiliation
LIN Pin-Le	Fujian Normal University, Mathematics and Computer Science College, Fuzhou 350007, China Fujian Normal University, Fujian Province Network Security and Cryptography Laboratory, Fuzhou 350007, China
WANG Kai-Jun	Fujian Normal University, Mathematics and Computer Science College, Fuzhou 350007, China Fujian Normal University, Fujian Province Network Security and Cryptography Laboratory, Fuzhou 350007, China

Author Name	Affiliation
LIN Pin-Le	Fujian Normal University, Mathematics and Computer Science College, Fuzhou 350007, China Fujian Normal University, Fujian Province Network Security and Cryptography Laboratory, Fuzhou 350007, China
WANG Kai-Jun	Fujian Normal University, Mathematics and Computer Science College, Fuzhou 350007, China Fujian Normal University, Fujian Province Network Security and Cryptography Laboratory, Fuzhou 350007, China

引用文本：
林品乐,王开军.基于模糊隶属度的粒子滤波故障预测.计算机系统应用,2016,25(6):119-124
LIN Pin-Le,WANG Kai-Jun.Particle Filter Fault Prediction Based on Fuzzy Membership Degree.COMPUTER SYSTEMS APPLICATIONS,2016,25(6):119-124