HISTOGRAM-BASED FEATURE EXTRACTION TECHNIQUE APPLIED FOR FAULT DIAGNOSIS OF ELECTRONIC CIRCUITS

• Abstract:

  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 numerical and experimental examples of frequency domain ANN-based testing of filter are presented to demonstrate the usefulness of the histogram approach.
• Keywords:

  analog fault diagnosis, feature extraction, histogram-based technique
• Download:

  IMEKO-TC10-2005-06.pdf
• DOI:

  _unreg_tc10-2005.06

Event details: