HISTOGRAM-BASED FEATURE EXTRACTION TECHNIQUE APPLIED FOR FAULT DIAGNOSIS OF ELECTRONIC CIRCUITS |
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| Wojciech Toczek, Michal Kowalewski, Romuald Zielonko |
- 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:
- -
- Event details
- IMEKO TC:
- TC10
- Event name:
- TC10 Conference 2005
- Title:
10th IMEKO TC10 Conference on Technical Diagnostics
- Place:
- Budapest, HUNGARY
- Time:
- 09 June 2005 - 10 June 2005