Napredna pretraga

Pregled bibliografske jedinice broj: 14728

Application of expert systems, fuzzy algorithms and neural networks to fault diagnosis in control systems


Vukić, Zoran; Ožbolt, Henrieta; Pavleković, Dean
Application of expert systems, fuzzy algorithms and neural networks to fault diagnosis in control systems // Brodogradnja, 47 (1999), 1; 41-49 (međunarodna recenzija, članak, znanstveni)


Naslov
Application of expert systems, fuzzy algorithms and neural networks to fault diagnosis in control systems

Autori
Vukić, Zoran ; Ožbolt, Henrieta ; Pavleković, Dean

Izvornik
Brodogradnja (0007-215X) 47 (1999), 1; 41-49

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Fault diagnosis; fault detection; integrated systems; fuzzy logic; neural networks; expert systems

Sažetak
An overview of modern artificial intelligence-based techniques for processing heuristic knowledge is presented. Basic definitions and comparison with classical mathematical tools are given. A qualitative symptom observer is suggested as a replacement for an analytical symptom generator in some particular situations (complex system, unknown process model etc.). All that led to the idea of an integrated fault diagnosis system dealing with as many information sources as possible: measured signals, observed parameters, quantitative and qualitative models and analytical data.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekt / tema
036003

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Časopis indeksira:


  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • BMT Abstracts
  • Marine Technology Abstracts (CD-ROM)
  • EI The Engineering Index
  • SDC Bulletin
  • Referativnij žurnal - Sudostroenie (VINITI)
  • EI Compendex Plus
  • Fluidex
  • World Translations Index