A complete procedure for leak detection and diagnosis in a complex heat exchanger using data-driven fuzzy models

被引：20

作者：

Habbi, Hacene ^{[1
]}

Kinnaert, Michel ^{[2
]}

Zelmat, Mimoun ^{[1
]}

机构：

[1] Univ Boumerdes, Lab Automat Appl, FHC, Boumerdes 35000, Algeria

[2] Univ Libre Bruxelles, Serv Automat & Anal Syst, B-1050 Brussels, Belgium

来源：

ISA TRANSACTIONS | 2009年 / 48卷 / 03期

关键词：

Leak detection; Fuzzy models; Fuzzy clustering; Heat exchangers; FAULT-DETECTION; IDENTIFICATION; DESIGN;

D O I：

10.1016/j.isatra.2009.01.004

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an efficient fuzzy model-based leak detection algorithm is designed for a pilot heat exchanger. A dynamic fuzzy model of the physical plant is first derived from input-output measurements using a fuzzy clustering technique. This model is run in parallel to the process for symptom generation. The leak detection mechanism has been tested and validated on the real co-current heat exchanger, and has proven to be efficient in detecting leaks of different magnitudes in the water circulation pipe. (C) 2009 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：354 / 361

页数：8

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