퍼지논리를 이용한 다중관측자 구조 FDIS의 성능개선

Performance Improvement of Multiple Observer based FDIS using Fuzzy Logic

  • 류지수 (단국대 공대 전기공학과) ;
  • 이기상 (단국대 공대 전기공학과)
  • 발행 : 1999.04.01

초록

A diagnostic rule-base design method for enhancing fault detection and isolation performance of multiple obsever based fault detection isolation schemes (FIDS) is presented. The diagnostic rule-base has a hierarchical framework to perform detection and isolation of faults of interest, and diagnosis of process faults. The decision unit comprises a rule base and a fuzzy inference engine and removes some difficulties of conventional decision unit which includes crisp logic with threshold values. Emphasis is placed on the design and evaluation methods of the diagnostic rult-base. The suggested scheme is applied to the FDIS design for a DC motor driven centrifugal pump system.

키워드

참고문헌

  1. IEEE Trans. Aero. Elec. Sys. v.14 no.3 Instrument fault detection R. N. Clark
  2. Theory and Application Fault Diagnosis in Dynamic Systems R. Patton;P. Frank;R. N. Clark
  3. J. AIchE v.33 no.7 A rule-based approach to fault diagnosis using the signed directed graph M. A. Kramer;B. L. Palowitch
  4. Int. J. Cont. v.59 no.3 Neural network decompositon strategies for large scale fault diagnosis S. N. Kavuri;Venkat Vekatasuburamanian
  5. Automatica v.29 no.4 Fault Diagnosis of Mechines via Parameter Estimation and Knowledge Proccessing - Tutorial Paper R. Isermann
  6. IEEE Trans. Auto. Cont. v.33 Robust fault diagnosis using eigenstructure assignment of observers R. J. Patton;S. M. Kangethe
  7. Int. J. Sys. Sci. v.24 no.10 Fuzzy supervision and Application to lean production P. M. Frank;N. Kuipel
  8. J. KICE v.33 no.6 Design of an fault detection isolation unit for a liquid transportation system T. H. Kim;Y. M. Hahm;K. S. Lee
  9. Automatica v.20 no.4 Process fault detection based on modeling and estimation methods : A survey R. Isermann