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Browsing by Author "Tan, Y."
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Class-based neural network method for fault location of large-scale analogue circuits
He, Y.; Tan, Y.; Sun, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2003)A new method for fault diagnosis of large-scale analogue circuits based on the class concept is developed in this paper. A large analogue circuit is decomposed into blocks/sub-circuits and the nodes between the blocks are ... -
Data-fused method of fault diagnosis for analog circuits
Tan, Y.; He, Y.; Sun, Y.; Yang, H.; Liu, M. (2009)A data-fused fault diagnosis method based on wavelet packet decomposition of voltages of test nodes and current signals of the terminals stimulated is proposed in the paper. For the faults difficult to detect merely from ... -
Design of test stimuli and minimization of ambiguity in fault diagnosis of analogue circuits with tolerance
Tan, Y.; He, Y.; Sun, Yichuang (2010)A novel method of stimuli design for analogue circuit fault diagnosis is presented based on a genetic algorithm and wavelet packet decomposition. The method is characterised by reduced fault ambiguity and more accurate ... -
Fault diagnosis of analog circuits based on wavelet packets
He, Y.; Tan, Y.; Sun, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2004)A fault diagnosis method for analog circuits based on wavelet packets is developed in this paper. The sampled signals from the test nodes are decomposed by wavelet packets and the feature vectors extracted are applied to ... -
A neural network approach for fault diagnosis of large-scale analogue circuits
He, Y.; Tan, Y.; Sun, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2002)An approach for fault diagnosis of large-scale analogue circuits using neural networks is presented in the paper. This method is based on the fault dictionary technique, but it can deal with soft faults due to the robustness ... -
Wavelet neural network approach for fault diagnosis of analogue circuits
Sun, Y.; He, Y.; Tan, Y. (2004)A systematic method for fault diagnosis of analogue circuits based on the combination of neural networks and wavelet transforms is presented. Using wavelet decomposition as a tool for removing noise from the sampled signals, ...