On-Line Performance Estimation and Condition Monitoring Using Neuro-Fuzzy Techniques

Autor: Françoise de Viron, Geert Uytterhoeven, Michel De Vlaminck, Paolo F. Fantoni, Jean-Michel Renders
Rok vydání: 1998
Předmět:
Zdroj: IFAC Proceedings Volumes. 31:335-340
ISSN: 1474-6670
DOI: 10.1016/s1474-6670(17)37581-x
Popis: Condition monitoring and performance estimation of a system or component means to assess the current state and estimate the future state of the system or component, using real time measurements and calculations. the difference between current and optimal conditions, caused by degradation, are used to evaluate the need and the time for maintenance, where the cost-benefit ratio for the operation is the lowest possible. Increase of availability, reliability and life time are the reasons why condition monitoring should be the preferred maintenance strategy. This paper shows the advantages of neuro-fuzzy based systems for plant monitoring and estimation, by presenting three state-of-the-art applications: ANNODIN (an early fault detection system), OCEAN (Optimisation of combustion and gas emission) and PEANO (Process signal validation and estimation).
Databáze: OpenAIRE