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Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters

  • Published:2017-02 Issue: Volume:51 Page:60-82
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Serdio Francisco,Lughofer Edwin,Zavoianu Alexandru-Ciprian,Pichler Kurt,Pichler Markus,Buchegger Thomas,Efendic Hajrudin

Funder

Austrian COMET-K2 programme of the Linz Center of Mechatronics (LCM)

Austrian federal government

federal state of Upper Austria

Publisher

Elsevier BV

Subject

Software

Reference76 articles.

1. Reconstruction-based contribution for process monitoring;Alcala;Automatica,2009

2. An approach to model-based fault detection in industrial measurement systems with application to engine test benches;Angelov;Meas. Sci. Technol.,2006

3. Digital Filters: Analysis, Design, and Applications;Antoniou,2000

4. Self adaptive growing neural network classifier for faults detection and diagnosis;Barakat;Neurocomputing,2011

5. An analysis of transformations;Box;J. R. Stat. Soc.,1964

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