Experiences and applications of peano for online monitoring in power plants

被引：22

作者：

Fantoni, PF ^{[1
]}

机构：

[1] OECD, Halden Reactor Project, Halden, Norway

来源：

PROGRESS IN NUCLEAR ENERGY | 2005年 / 46卷 / 3-4期

关键词：

neural networks; fuzzy classification; signal validation; pattern recognition; process monitoring; calibration reduction;

D O I：

10.1016/j.pnucene.2005.03.005

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

This paper describes the motivations, ideas, work and lesson learned that resulted in the development of the software product called PEANO, for signal validation of process sensors in a dynamic system. The focus of this report is more on the process that started in 1994 and brought to the realization of the current system in 2003

引用

页码：206 / 225

页数：20