The soft fault induced by parameter variation is one of the most challenging problems in the domain of fault diagnosis for analog circuits.A new fault location and parameter prediction approach for soft-faults diagnos...The soft fault induced by parameter variation is one of the most challenging problems in the domain of fault diagnosis for analog circuits.A new fault location and parameter prediction approach for soft-faults diagnosis in analog circuits is presented in this paper.The proposed method extracts the original signals from the output terminals of the circuits under test（CUT） by a data acquisition board.Firstly,the phase deviation value between fault-free and faulty conditions is obtained by fitting the sampling sequence with a sine curve.Secondly,the sampling sequence is organized into a square matrix and the spectral radius of this matrix is obtained.Thirdly,the smallest error of the spectral radius and the corresponding component value are obtained through comparing the spectral radius and phase deviation value with the trend curves of them,respectively,which are calculated from the simulation data.Finally,the fault location is completed by using the smallest error,and the corresponding component value is the parameter identification result.Both simulated and experimental results show the effectiveness of the proposed approach.It is particularly suitable for the fault location and parameter identification for analog integrated circuits.展开更多
目的探讨SIMCA(soft independent modeling of class analogy)法对肝炎后肝硬化中医证候判识的可行性。方法在对变量进行归一化处理的基础上,用SIMCA法对268例肝炎后肝硬化患者临床症状、体征和生物学指标进行分析,获得相应SIMCA距离并...目的探讨SIMCA(soft independent modeling of class analogy)法对肝炎后肝硬化中医证候判识的可行性。方法在对变量进行归一化处理的基础上,用SIMCA法对268例肝炎后肝硬化患者临床症状、体征和生物学指标进行分析,获得相应SIMCA距离并以之对肝硬化证候进行识别,再运用秩和检验分析误判原因。结果 5种中医证候(肝郁脾虚证、肝肾阴虚证、脾肾阳虚证、湿热内蕴证及瘀热蕴结证)的识别率在最近类中为72.39%,在次近类中为17.91%,总识别率为90.30%。其中,对肝肾阴虚证的识别率最高,总识别率为95.24%。秩和检验分析结果表明,在最近类中,未得到识别者与得到识别者比较,在某些对证候判识起关键作用的症状变量得分方面差异有统计学意义(P<0.05)。结论采用SIMCA法对肝炎后肝硬化中医证候进行判识,与临床实际证候拟合度较高。依据SIMCA法建立证候辨识系统可为中医证候判别提供参考。展开更多
基金supported by the National Natural Science Foundation of China under Grant No.61371049
文摘The soft fault induced by parameter variation is one of the most challenging problems in the domain of fault diagnosis for analog circuits.A new fault location and parameter prediction approach for soft-faults diagnosis in analog circuits is presented in this paper.The proposed method extracts the original signals from the output terminals of the circuits under test（CUT） by a data acquisition board.Firstly,the phase deviation value between fault-free and faulty conditions is obtained by fitting the sampling sequence with a sine curve.Secondly,the sampling sequence is organized into a square matrix and the spectral radius of this matrix is obtained.Thirdly,the smallest error of the spectral radius and the corresponding component value are obtained through comparing the spectral radius and phase deviation value with the trend curves of them,respectively,which are calculated from the simulation data.Finally,the fault location is completed by using the smallest error,and the corresponding component value is the parameter identification result.Both simulated and experimental results show the effectiveness of the proposed approach.It is particularly suitable for the fault location and parameter identification for analog integrated circuits.
文摘目的探讨SIMCA(soft independent modeling of class analogy)法对肝炎后肝硬化中医证候判识的可行性。方法在对变量进行归一化处理的基础上,用SIMCA法对268例肝炎后肝硬化患者临床症状、体征和生物学指标进行分析,获得相应SIMCA距离并以之对肝硬化证候进行识别,再运用秩和检验分析误判原因。结果 5种中医证候(肝郁脾虚证、肝肾阴虚证、脾肾阳虚证、湿热内蕴证及瘀热蕴结证)的识别率在最近类中为72.39%,在次近类中为17.91%,总识别率为90.30%。其中,对肝肾阴虚证的识别率最高,总识别率为95.24%。秩和检验分析结果表明,在最近类中,未得到识别者与得到识别者比较,在某些对证候判识起关键作用的症状变量得分方面差异有统计学意义(P<0.05)。结论采用SIMCA法对肝炎后肝硬化中医证候进行判识,与临床实际证候拟合度较高。依据SIMCA法建立证候辨识系统可为中医证候判别提供参考。
