Title:

Pattern recognition techniques using fuzzily labeled data for process fault detection

Group publication title:

AMCS, volume 6 (1996)

Creator:

Marcu, Teodor

Subject and Keywords:

sztuczna inteligencja ; informatyka ; sterowanie-teoria ; matematyka stosowana ; sterowanie

Abstract:

The problem of robust diagnosis of process faults is addressed in the context of intelligent control. Fuzzy and non-parametric theoretic decision methods of pattern recognition are developed and applied to model-based fault detection based on parameter estimation. The present approach uses the concept of fuzzy sets to construct and to improve the performances of linear and nonlinear classifiers based on a distance. Simulation and experimental results regarding the diagnosis of various processes are included in two comparative studies.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Contributor:

Korbicz, Józef - red. ; Uciński, Dariusz - red.

Date:

1996

Resource Type:

artykuł

Pages:

815-840

Source:

AMCS, volume 6, number 4 (1996)

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego