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On-line Output Monitoring of Time-Variant Nonlinear System Based on Bayesian Inferring Model(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2012年02期
Page:
7-10
Research Field:
Publishing date:

Info

Title:
On-line Output Monitoring of Time-Variant Nonlinear System Based on Bayesian Inferring Model
Author(s):
Liu Yijian; Di Liming
School of Electronic and Automation Engineering,Nanjing Normal University,Nanjing 210042,China
Keywords:
Bayesian inferring model; nonlinear system; time-variant; monitoring
PACS:
TP13
DOI:
-
Abstract:
The implementation idea and solution are proposed in this article for the output on-line monitoring of the timevariant nonlinear system by using bayesian inferring model ( BIM) ． Firstly，the on-line monitoring problem of nonlinear system is described． Then the BIM structure and training methods are introduced． The characteristics of the BIM include that the sample data for off-line training are from the closed loop system and the optimization algorithm for the threshold matrix D is selected as the improved foraging optimization algorithm ( IEFOA) ． While in the on-line applications，the sliding window data are used to update the structure of the BIM for the on-line tracing of the system output． The time-variant nonlinear object is employed to validate the on-line monitoring ability of the BIM． The simulation results indicate that the BIM is adapted to the system on-line output monitoring and owns the characteristics of easy design，high accuracy tracing ability and etc，which provide a kind of data prediction method for the lowest system．

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Last Update: 2013-03-11