摘要
集成电路的动态电流IDDT波形中包含有丰富的电路工作状态的信息,提取其中的特征信息进行电路故障诊断是电压逻辑功能检测和静态电流IDDQ检测等方法的有效补充。小波分析具有良好的局部性,在奇异性研究和奇异点定位中得到了广泛的应用。本文提出了一种新的利用小波方法分析IDDT波形进行电路中桥接故障诊断的算法,该算法利用动态电流小波系数差异度的阈值判决识别故障,利用故障字典定位故障,Pspice电路仿真和MATLAB数据分析充分验证了该算法的有效性。
Transient current （IDDT） waveform in integrated circuits include abounding circuits＇ condition information, extracting these features information for diagnosis of circuits malfunction can be a effective way to complete logic function detection and quiescent current （IDDQ） detection. Wavelet transform is i ust localized, which is popularly used in ~ detection and localization of singularity. A novel fault diagnosis algorithm for bridge fault based on wavelet analysis to IDDT waveform is presented in this paper, which diagnose the fault of IC chip with the difference degree of wavelet transform coefficients and fault dictionary. The simulative experiments with Pspice and MATLAB have been used to illuminate the effectiveness of the algorithms.
出处
《电子测量技术》
2008年第10期128-131,183,共5页
Electronic Measurement Technology
基金
武器装备预研基金资助项目(9140A17030406DZ02)
