J4 ›› 2013, Vol. 26 ›› Issue (1): 56-59.doi: 10.3976/j.issn.1002-4026.2013.01.012

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Wavelet analysis and neural network based fault diagnosis for resistive-open defects

 YU Chang-Geng, LAI Li-Ping   

  1. Hezhou University, Hezhou 542800, China
  • Received:2012-08-13 Online:2013-02-20 Published:2013-02-20

Abstract:

Resistive-open defects in a digital circuit will cause a time-delay fault and functional failure of a circuit. We address a fault diagnosis method of resistive-open defects with wavelet analysis and neural network based on the analysis of transient power supply current(IDDT) and principal component analysis. Results show that the method is feasible.

Key words: resistive-open defects, transient power supply current(IDDT), wavelet analysis, PCA

CLC Number: 

  • TP3