Anytime fuzzy modeling approach for fault detection systems

Research output: Paper

4 Citations (Scopus)

Abstract

Nowadays for solving fault diagnosis, fault isolation, and control problems a possible solution can be the use of model-based approaches, which contain a representation of our knowledge about the fault-free and faulty systems. If the nature and/or the actual circumstances of the problem in hand change the corresponding model should also be changed. Anytime techniques are very flexible in this respect and can advantageously be used when the operation should be performed under changing circumstances. This paper provides the possible anytime extension of the modeling issues of Takagi-Sugeno fuzzy inference operator based approximation which is the essential core of the parallel distributed compensation (PDC) design approach. The PDC based system analysis and the fuzzy observer design are focused on a benchmark problem of fault diagnosis of an actuator in a sugar factory.

Original languageEnglish
Pages1611-1616
Number of pages6
Publication statusPublished - júl. 14 2003
EventProceedings of the 20th IEEE Information and Measurement Technology Conference - Vail, CO, United States
Duration: máj. 20 2003máj. 22 2003

Other

OtherProceedings of the 20th IEEE Information and Measurement Technology Conference
CountryUnited States
CityVail, CO
Period5/20/035/22/03

    Fingerprint

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Várkonyi-Kóczy, A. R., Baranyi, P., & Patton, R. J. (2003). Anytime fuzzy modeling approach for fault detection systems. 1611-1616. Paper presented at Proceedings of the 20th IEEE Information and Measurement Technology Conference, Vail, CO, United States.