吉首大学学报（自然科学版）2004，Vol.25Issue(4)：4-9,34,7.
非线性动态网络/系统(N/S)模型辨识与故障诊断
Model Identification and Fault Diagnosis for Nonlinear Dynamic Networks /Systems (N/S)
摘要
Abstract
By applying block-pulse function transform (BPFT) the hybrid model (H1,B) for a class of nonlinear dynamic N/S was identified in the paper.The relative formulas for calculating the hybrid model (H1,B) and discrete recursive formulas for computing Volterra series resolution of model of N/S were derived.Based on above a fault diagnosis method of multiple preset models for N/S was also proposed.This method can judge and classify the faults occurring in N/S by checking the matching degree between each preset model and the current working state of N/S.There is no need for computing the current model of N/S and analyzing the features on line.So the method can largely reduce the computational cost and the fault diagnosis can be realized on line.An example of fault diagnosis was given here.The results show that the accuracy of fault diagnosis reaches 80-90 percent by this means.关键词
方波脉冲函数变换/模型辨识/递推计算/多重预置模型/故障诊断/伏特劳级数Key words
Block-pulse function transform/model identification/recursive calculation/multiple preset models/fault diagnosis/Volterra series分类
信息技术与安全科学引用本文复制引用
谢宏,彭卫韶,何怡刚..非线性动态网络/系统(N/S)模型辨识与故障诊断[J].吉首大学学报（自然科学版）,2004,25(4):4-9,34,7.基金项目
Research supported by National Natural Science Foundation of China,GRANT(50277010,59707002) （50277010,59707002）
