FAULT DETECTION AND DIAGNOSIS IN A HEAT EXCHANGER

被引：0

作者：

Tudon Martinez, Juan C. ^{[1
]}

Morales-Menendez, Ruben ^{[1
]}

Garza Castanon, Luis E. ^{[1
]}

机构：

[1] Tecnol Monterrey, Monterrey Nl 64849, Mexico

来源：

ICINCO 2009: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 1: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION | 2009年

关键词：

Dynamic principal component analysis; Diagnostic observers; Fault detection; Fault diagnosis;

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：

A comparison between the Dynamic Principal Component Analysis (DPCA) method and a bank of Diagnostic Observers (DO) under the same experimental data from a shell and tube industrial heat exchanger is presented. The comparative analysis shows the performance of both methods when sensors and/or actuators fail. Different metrics are discussed (i.e. robustness, quick detection, isolability capacity, explanation facility, false alarm rates and multiple faults identifiability). DO showed quicker detection for sensor and actuator faults with lower false alarm rate. Also, DO can isolate multiple faults. DPCA required a minor training effort; however, it cannot identify two or more sequential faults.

引用

页码：265 / 270

页数：6

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