Analog Circuits Diagnosis Using Discrete Wavelet Transform of Supply Current
نویسندگان
چکیده
A discrete wavelet transform based dynamic supply current analysis technique for detecting the catastrophic faults in analog circuits containing transistor is investigated in the paper. Some considerations due to a problem of fault localization using multiresolution approximation and the illustrative numerical example are presented.
منابع مشابه
Parametric fault detection in analog circuits containing MOS transistors
In this paper, algorithm for parametric fault diagnosis of nonlinear, analog circuits containing MOS is presented. This method applies power supply current waveform IDD as an indicator of a device feature. Test signal is filtered using a discrete wavelet transform filter bank to obtain signal sensitive to changes of device parameters. Coefficients of the polynomial approximating the component a...
متن کاملDynamic Supply Current Testing of Analog Circuits Using Wavelet Transform
Dynamic supply current (IDD) analysis has emerged as an e ective way for defect oriented testing of analog circuits. In this paper, we propose using wavelet decomposition of IDD for fault detection in analog circuits. Wavelet transform has the property of resolving events in both time and frequency domain simultaneously unlike fourier expansion which localizes a signal in terms of frequency onl...
متن کاملDefect Oriented Testing of Analog Circuits Using Wavelet Analysis of Dynamic Supply Current
In recent years, Defect Oriented Testing (DOT) has been investigated as an alternative testing method for analog circuits. In this paper, we propose a wavelet transform based dynamic supply current (IDD) analysis technique for detecting catastrophic and parametric faults in analog circuits. Wavelet transform has the property of resolving events in both time and frequency domain simultaneously u...
متن کاملAN INTELLIGENT FAULT DIAGNOSIS APPROACH FOR GEARS AND BEARINGS BASED ON WAVELET TRANSFORM AS A PREPROCESSOR AND ARTIFICIAL NEURAL NETWORKS
In this paper, a fault diagnosis system based on discrete wavelet transform (DWT) and artificial neural networks (ANNs) is designed to diagnose different types of fault in gears and bearings. DWT is an advanced signal-processing technique for fault detection and identification. Five features of wavelet transform RMS, crest factor, kurtosis, standard deviation and skewness of discrete wavelet co...
متن کاملWavelet Transform with Dynamic Translinear Circuits for Cardiac Signal Characterization in Pacemakers
In this paper, an analog implementation of the Wavelet Transform is presented. The circuit is based on the Dynamic Translinear circuit technique. From simulations, it is demonstrated that we can scale and shift in time by simply controlling the capacitance or the control current values. The advantage of this topology is the lowpower consumption. The circuit operates from 1-V supply voltage and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009