Romuald Zielonko

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In this paper we discuss and compare two feature extraction techniques: histogram-based and Principal Component Analysis. Comparison is done on an analog filter fault diagnosis example performed in the frequency domain. Both techniques are implemented in a neural network system for the off-line diagnosis of electronic analog and mixed-signal circuits. The(More)
The paper presents the method of fault location of the piecewise linear type analog circuits based on the verification approach and the component connection model. For verification of the fault hypothesis the residual square sum criterion is applied. In the first part of the paper the diagnostic equations describing the model and the algorithm of the method(More)
In the paper a new fault diagnosis-oriented neural network and a diagnostic method for localization of parametric faults in Analog Electronic Circuits (AECs) with tolerances is presented. The method belongs to the class of dictionary Simulation Before Test (SBT) methods. It utilizes dictionary fault signatures as a family of identification curves dispersed(More)
Ab strac t-The paper concerns the testing of analogue circuits and blocks in mixed-signal electronic embedded systems (EESs), using the built-in self-test (BIST) technique. The integrated µBIST based on reusing signal blocks already present in an EES, such as processors, memories, ADCs, is presented. The novelty of the solution is the extended functionality(More)
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