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An analog fault diagnosis approach using a systematic step-by-step test is proposed for fault detection and location in analog circuits with component tolerance and limited accessible nodes. First, by considering soft faults and component tolerance, statistics-based fault detection criteria are established to determine whether a circuit is faulty by measuring accessible node voltages. For a faulty...
An approach to fault diagnosis for analog circuits with tolerance is presented based on probabilistic neural networks. In order to overcome the difficulties in BP network based diagnosis such as slow learning speed for convergence and easily falling into local minimum value, probabilistic neural network is introduced to tolerance-circuit diagnosis. Fault samples including soft faults and hard faults...
An approach to analog fault diagnosis for circuits with tolerance is presented based on data fusion. The proposed strategy consists of preliminary diagnosis and decision fusion. Preliminary diagnosis is performed separately by using one kind of fault signatures from multiform circuit responses. The preliminary diagnosis results are aggregated using an evidential reasoning algorithm and fault location...
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