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输入训练神经网络PCA故障检测方法
引用本文:赵立杰,王纲. 输入训练神经网络PCA故障检测方法[J]. 系统仿真学报, 2001, 13(Z1): 149-151
作者姓名:赵立杰  王纲
作者单位:沈阳化工学院,
摘    要:针对线性PCA方法难以提取非线性统计特征信息,本文在输入训练神经网络基础上提出了一种非线性PCA故障检测方法.同时探讨了非线性PCA过程性能监视系统的设计方案及其在间歇生产过程中的应用,仿真实验结果证明算法的有效性.

关 键 词:神经网络   PCA   性能监视   故障检测
文章编号:1004-731X(2001)0A-0149-03
修稿时间:2001-04-29

Input-Train Neural Network and PCA Method for Fault Detection
ZHAO Li-jie,WANG Gang. Input-Train Neural Network and PCA Method for Fault Detection[J]. Journal of System Simulation, 2001, 13(Z1): 149-151
Authors:ZHAO Li-jie  WANG Gang
Abstract:In this paper, a nonlinear PCA (principal component analysis) method for fault detection based on input-train neural network (IT-net) is proposed for the reason that linear PCA method is difficult to capture nonlinear statistical characteristic information. Design scheme of process perform monitoring system based on the algorithm and its application to batch processes are discussed. The algorithm validity is demonstrated by simulation results.
Keywords:neural network  PCA  performance monitoring  fault detection  
本文献已被 CNKI 万方数据 等数据库收录!
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