Network of dynamic neurons in fault detection systems

Author

Korbiez, J. ; Obuchowicz, A. ; Patan, K.

Author_Institution

Dept. of Robotics & Software Eng., Tech. Univ. of Zielona Gora, Poland

Volume

2

fYear

1998

fDate

11-14 Oct 1998

Firstpage

1862

Abstract

The neural-residual generator (NRG) construction for a dynamic system is the goal of this paper. The neural networks modeling the dynamic system are constructed with dynamics models of artificial neurons, which contain inner feedbacks. Such a model consists of an adder module, a linear dynamic system and a nonlinear activation function. Two optimization problems are solved with NRG construction: searching for an optimal network architecture and dynamic neuron model (DNM) network training. The boiler unit of a power plant is chosen as a modeled dynamic system

Keywords

adders; boilers; fault diagnosis; feedback; neural nets; optimisation; power engineering computing; power plants; transfer functions; DNM network training; NRG; adder module; boiler unit; dynamic neuron model network training; dynamic neuron network; dynamic system; dynamics models; fault detection systems; inner feedbacks; linear dynamic system; neural-residual generator; nonlinear activation function; optimal network architecture; optimization problems; power plant; Artificial neural networks; Bibliographies; Fault detection; IIR filters; Intelligent networks; Neurons; Nonlinear dynamical systems; Power generation; Power system modeling; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1062-922X

Print_ISBN

0-7803-4778-1

Type

conf

DOI

10.1109/ICSMC.1998.728167

Filename

728167