Identification and fault diagnosis of an industrial gas turbine prototype model

被引：0

作者：

Simani, S ^{[1
]}

Patton, RJ ^{[1
]}

Daley, S ^{[1
]}

Pike, A ^{[1
]}

机构：

[1] Univ Ferrara, Dipartimento Ingn, I-44100 Ferrara, Italy

来源：

PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 2000年

关键词：

fault diagnosis; analytical redundancy; model-based approach; system identification; industrial gas turbine;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper addresses a model-based procedure exploiting analytical redundancy for the detection and isolation of faults of a power plant. The residual generation is performed by means of output observers and Kalman filters in connection with the uncertainty affecting the measurements acquired from the monitored system. The model of the process under investigation required to design observers and filters is obtained by identification The proposed fault detection and isolation tool has been tested on a simulated model of an industrial gas turbine prototype.

引用

页码：2615 / 2620

页数：6

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