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Faults Diagnosis through Genetic Matching Pursuit

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Abstract

Signals that carry information regarding the existing defects or possible failures of a system are sometimes difficult to analyze because of various corrupting noises. Such signals are usually acquired in difficult conditions, far from the place where defects are located and/or within a noisy environment. Detecting and diagnosing the defects require then quite sophisticated methods that are able to make the distinction between noises encoding the defects and another parasite signals, all mixed together in an unknown way. Such a method is introduced in this paper. The method combines time-frequency-scale analysis of signals with a genetic algorithm.

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References

  1. Figueras i Ventura, R.M., Vandergheynst, P., Frossard, P.: Evolutionary Multiresolution Matching Pursuit and its relations with the Human Visual System. In: Proceedings of EUSIPCO 2002, Toulouse, France, September 2002, vol. II, pp. 395–398 (2002)

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  2. Mallat, S., Zhang, S.: Matching Pursuit with Time-Frequency Dictionaries. IEEE Transactions on Signal Processing 41(12), 3397–3415 (1993)

    Article  MATH  Google Scholar 

  3. Mitchell, M.: An Introduction to Genetic Algorithms. The MIT Press, Cambridge (1995)

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  4. Stefanoiu, D., Ionescu, F.: Vibration Faults Diagnosis by Using Time-Frequency Dictionaries. Research Report AvH-FHKN-0301, Konstanz, Germany (January 2003)

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Stefanoiu, D., Ionescu, F. (2003). Faults Diagnosis through Genetic Matching Pursuit. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_99

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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