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Fault Diagnosis of an Intelligent Building Facility Using Bayesian Networks

ZHANG Qi-ding XU Jin-yu BAI Er-lei

国际设备工程与管理（英文版）2008，Vol.13Issue(1)：26-31,6.

Fault Diagnosis of an Intelligent Building Facility Using Bayesian Networks

ZHANG Qi-ding ¹XU Jin-yu ¹BAI Er-lei²

作者信息

1. School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an 710072, P.R.China
2. The Engineering Institute, Air Force Engineering University, Xi'an 710038, P.R.China
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摘要

Abstract

There is great significance to diagnose the fault of an intelligent building facility for fault controlling, repairing, eliminating and preventing. As an example, this paper established a Bayesian networks model for fault diagnosis of the refrigeration system of an intelligent building facility, gave the networks parameters, and analyzed the reasoning mechanism. Based on the model, some data was analyzed and diagnosed by adopting Bayesian networks reasoning platform GeNIe. The result shows that the diagnosis effect is more comprehensive and reasonable than the other method.

关键词

intelligent building facility, refrigeration system, fault diagnosis, Bayesian networks

Key words

intelligent building facility, refrigeration system, fault diagnosis, Bayesian networks

分类

管理科学

引用本文复制引用

ZHANG Qi-ding,XU Jin-yu,BAI Er-lei..Fault Diagnosis of an Intelligent Building Facility Using Bayesian Networks[J].国际设备工程与管理（英文版）,2008,13(1):26-31,6.

基金项目

This paper is supported by National Natural Science Foundation of China under Grant No.10372084 （）

国际设备工程与管理（英文版）

ISSN：1007-4546

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