Knowledge-based fault detection and diagnosis for AHU system

In this thesis, a knowledge-based fault detection and diagnosis scheme for the Air Handling Unit (AHU) system is proposed on the basis of Building Automation System (BAS). The diagnosis functions of the knowledge-based system are based on the characteristics of AHU system and the fault may be detect...

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Main Author: Zheng, Binyu.
Other Authors: Cai, Wenjian
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/4125
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-41252023-07-04T15:59:22Z Knowledge-based fault detection and diagnosis for AHU system Zheng, Binyu. Cai, Wenjian School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems In this thesis, a knowledge-based fault detection and diagnosis scheme for the Air Handling Unit (AHU) system is proposed on the basis of Building Automation System (BAS). The diagnosis functions of the knowledge-based system are based on the characteristics of AHU system and the fault may be detected by comparing the actual measured data with the prediction from the historical data. Master of Science (Computer Control and Automation) 2008-09-17T09:45:02Z 2008-09-17T09:45:02Z 2006 2006 Thesis http://hdl.handle.net/10356/4125 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Zheng, Binyu.
Knowledge-based fault detection and diagnosis for AHU system
description In this thesis, a knowledge-based fault detection and diagnosis scheme for the Air Handling Unit (AHU) system is proposed on the basis of Building Automation System (BAS). The diagnosis functions of the knowledge-based system are based on the characteristics of AHU system and the fault may be detected by comparing the actual measured data with the prediction from the historical data.
author2 Cai, Wenjian
author_facet Cai, Wenjian
Zheng, Binyu.
format Theses and Dissertations
author Zheng, Binyu.
author_sort Zheng, Binyu.
title Knowledge-based fault detection and diagnosis for AHU system
title_short Knowledge-based fault detection and diagnosis for AHU system
title_full Knowledge-based fault detection and diagnosis for AHU system
title_fullStr Knowledge-based fault detection and diagnosis for AHU system
title_full_unstemmed Knowledge-based fault detection and diagnosis for AHU system
title_sort knowledge-based fault detection and diagnosis for ahu system
publishDate 2008
url http://hdl.handle.net/10356/4125
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