Diagnostics of the information subsystem of an automatic process control system using artificial intelligence technologies

被引：1

作者：

Repin A.I. ^{[1
]}

Sabanin V.R. ^{[1
]}

Smirnov N.I. ^{[1
]}

Andreev S.N. ^{[2
]}

机构：

[1] Moscow Power Institute, Moscow, 111250

[2] TETs-27 Cogeneration Station, OAO Mosenergo, Moscow oblast, 141031, pos. Chelobit'evo

来源：

Thermal Engineering | 2006年 / 53卷 / 6期

关键词：

Thermal Engineer; Correction Algorithm; Superheated Steam; Balance Relation; Process Control System;

D O I：

10.1134/S0040601506060152

中图分类号：

学科分类号：

摘要：

A method for diagnosing partial failures of the measuring-and-information channels of an automatic process control system is considered on the basis of modern artificial intelligence technologies. The algorithm proposed for correcting the results of measurements is based on the information redundancy of a technological process. The possibility of using neural network technologies, evolution optimization algorithms, and fuzzy logic elements is investigated. © Nauka/Interperiodica 2006.

引用

页码：476 / 482

页数：6

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