Fault detection in measuring systems of power plants

被引:7
作者
Gluch, Jerzy [1 ]
机构
[1] Gdansk Univ Technol, Fac Ocean Engn & Ship Technol, PL-80952 Gdansk, Poland
关键词
steam turbines; turbines exploitation; power units; efficiency; thermal diagnostics; diagnostic relations;
D O I
10.2478/v10012-007-0096-8
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper describes possibility of forming diagnostic relations based on application of the artifical neural networks (ANNs), intended for the identifying of degradation of measuring instruments used in developed power systems. As an example a steam turbine high power plant was used. And, simulative calculations were applied to forming diagnostic neural relations. Both degradation of the measuring instruments and simultaneously occurring degradation of the measuring instruments and thermal cycle component devices, were taken into account. Good quality of diagnostic neural relations was stated. They make it possible to distinguish degradation of measuring instruments from degradation of thermal cycle components. Tire calculated errors of identification of degraded devices and measuring instruments in the case of simultaneous occurence of three different degradations were on the level of 0.25 %. Performance of the relations was presented by using an example based on industrial practice.
引用
收藏
页码:45 / 51
页数:7
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