Recently updated on Maggio 11th, 2021 at 08:59 am

Como, Italy, 18-20 May, 2004

Artificial Intelligence Techniques for On-Line Monitoring of Fossil Power Plants

Paolo Fantoni1, Luca Gregori2, Gian Antonio Zanetta2 1 OECD Halden Reactor Project, Halden,Norway Phone + 47 69 21 22 00 Fax+ 47 69 21 24 60 E-mail Paolo.Fantoni@hrp.no 2 CESI, Via Rubattino 54, 20134 Milan, Italy Phone + 39 02 21 25 45 86 Fax + 39 02 21 25 46 78 E-mail lgregori@cesi.it Phone + 39 02 21 25 45 85 Fax + 39 02 21 25 46 78 E-mail zanetta@cesi.it Abstract – The paper describes the results of the use of a combined approach of artificial neural network and fuzzy logic, implemented in the computer code PEANO, to the on-line monitoring of the steam-water cycle of a 320 MW fossil plant in Italy. First, a short review of the underlying theory is reported. Then some results are illustrated of data pre-processing, aimed at selecting the appropriate data and to address the neural networks architecture. Finally the simulation of continuous monitoring is documented and data reconciliation capability of the code is discussed in some detail. The effectiveness of PEANO to validate measured signals and to monitor a process on-line is fully demonstrated. Keywords – Artificial intelligence, Fuzzy logic, ART neural networks, Power generation, Monitoring, Data processing PUBBLICATO A5058705 (PAD – 743200)