吉首大学学报(自然科学版)
吉首大學學報(自然科學版)
길수대학학보(자연과학판)
JOURNAL OF JISHOU UNIVERSITY
2004年
4期
4-9,34
,共7页
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
方波脈遲函數變換%模型辨識%遞推計算%多重預置模型%故障診斷%伏特勞級數
방파맥충함수변환%모형변식%체추계산%다중예치모형%고장진단%복특로급수
Block-pulse function transform%model identification%recursive calculation%multiple preset models%fault diagnosis%Volterra series
采用方波脉冲函数变换(BPFT)对一类非线性动态N/S混合模型(H1,B)进行了辨识,导出了计算混合模型(H1,B)的相关公式和N/S响应的伏特劳级数解在方波域内的离散递推算式,解决了一类非线性动态N/S模型的数值计算问题.在此基础上,提出了一种基于多重预置模型的非线性N/S的故障诊断方法,该法通过检验各个预设模型与N/S当前状态的匹配程度来判断N/S是否处于某种故障状态,而无须在线估算N/S当前的模型及分析其特征,从而极大地减轻了在线计算工作量,可实现在线故障诊断.给出了故障诊断实例,实验结果表明该法故障诊断的准确率达到80%~90%.
採用方波脈遲函數變換(BPFT)對一類非線性動態N/S混閤模型(H1,B)進行瞭辨識,導齣瞭計算混閤模型(H1,B)的相關公式和N/S響應的伏特勞級數解在方波域內的離散遞推算式,解決瞭一類非線性動態N/S模型的數值計算問題.在此基礎上,提齣瞭一種基于多重預置模型的非線性N/S的故障診斷方法,該法通過檢驗各箇預設模型與N/S噹前狀態的匹配程度來判斷N/S是否處于某種故障狀態,而無鬚在線估算N/S噹前的模型及分析其特徵,從而極大地減輕瞭在線計算工作量,可實現在線故障診斷.給齣瞭故障診斷實例,實驗結果錶明該法故障診斷的準確率達到80%~90%.
채용방파맥충함수변환(BPFT)대일류비선성동태N/S혼합모형(H1,B)진행료변식,도출료계산혼합모형(H1,B)적상관공식화N/S향응적복특로급수해재방파역내적리산체추산식,해결료일류비선성동태N/S모형적수치계산문제.재차기출상,제출료일충기우다중예치모형적비선성N/S적고장진단방법,해법통과검험각개예설모형여N/S당전상태적필배정도래판단N/S시부처우모충고장상태,이무수재선고산N/S당전적모형급분석기특정,종이겁대지감경료재선계산공작량,가실현재선고장진단.급출료고장진단실례,실험결과표명해법고장진단적준학솔체도80%~90%.
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.