Monitoring strategies for a combined cycle electric power generator

被引：25

作者：

Finn, Joshua ^{[1
]}

Wagner, John ^{[1
]}

Bassily, Hany ^{[2
]}

机构：

[1] Clemson Univ, Dept Mech Engn, Clemson, SC 29634 USA

[2] Siemens Energy, Orlando, FL 32817 USA

来源：

APPLIED ENERGY | 2010年 / 87卷 / 08期

关键词：

Combined cycle; Electric power; Turbines; Signal analysis; Prognostics; Operating data; FAULT-DETECTION; MULTIVARIATE; ENGINE; MODELS;

D O I：

10.1016/j.apenergy.2010.02.017

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

080707 [能源环境工程]; 082001 [油气井工程];

摘要：

Electric power generation systems require continuous monitoring to ensure safe and reliable operation The data available from plant sensors supplied to the control systems may also be analyzed to verify proper operation and predict future behavior In this paper, a combined cycle electric power plant has been monitored using limit and trend checking, reconstructed phase planes, and regression curves for transient and steady-state power generation. Representative experimental results are presented and discussed to illustrate the strengths of the proposed analysis strategies on a 510 MW combined-cycle system and a 180 MW steam turbine The phase space analysis provides a means of visual inspection of operational anomalies and also offers a context for numerical analysis of the anomalous behavior The statistical prognostic method provided regression errors below 2 0% for two of the three proposed plant signal combinations. However, all signal combinations offered the opportunity for system monitoring and diagnosis in terms of threshold violations which varied from 2.7% to 54% for these two signal sets. Overall, the monitoring strategies exhibited great promise for power generation system applications and merit further study (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：2621 / 2627

页数：7

共 27 条

[1]

Diagnosis methodology for the turbocharger groups installed on a 1 MW internal combustion engine [J].