Monitoring and Diagnosis for Automatic Activation of Reserve using Artificial Intelligence Techniques

被引：0

作者：

Vlad, Magdalena ^{[1
]}

Cucu, Monica ^{[1
]}

Frumuselu, Sorin ^{[2
]}

Popovici, Razvan ^{[3
]}

Popescu, Mihai Octavian ^{[1
]}

Popescu, Claudia Laurenta ^{[1
]}

机构：

[1] UPB Univ Politehn Bucharest, Bucharest, Romania

[2] SC ELECTROTEHNICA Echipamente Elect SRL, Bucharest, Romania

[3] RAANSITON Subsidiary Technol & Engn Nucl Projects, Magurele Ilfov, Romania

来源：

2013 8TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE) | 2013年

关键词：

on-line diagnosis; monitoring; AAR; expert system;

D O I：

10.1109/ATEE.2013.6563372

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Monitoring, diagnosis and control systems represent a variant of modern informational technologies used for broadcasting, data acquisition and visualization of primary technical data as well as automated long distance control of dynamic processes from amongst very diverse fields, ranging from metallurgical engineering, chemistry and energy engineering to nuclear engineering. This paper deals with an expert system whose primary purpose is monitoring, diagnosing and operating an AAR (Automatic Activation of Reserve) process. The presented system uses online acquired data and integrates the entire range of needed functions for the monitoring, diagnosis and operation of an AAR system at a software level. This system provides operators with global information, operative suggestions and detailed interpretation of real time operational status of monitored stations.

引用

页数：4