基于DR-BN的冷水机组故障检测

TB657.2%TU831.3; 在冷水机组现场的故障数据通常难以获得,这是导致基于多分类算法的故障检测方法未被广泛现场应用的主要障碍之一.本文将距离拒绝(DR)机制融入贝叶斯网络(BN)中,将冷水机组故障检测转化为一类划分问题,提出一种基于DR-BN的冷水机组故障检测方法,该方法仅使用正常数据训练模型,从而有效克服上述障碍.本文通过使用ASHRAE RP-1043的故障实验数据对提出方法的性能进行验证,并与传统方法的性能进行了对比,可知基于DR-BN的模型具有更高的故障检测性能,尤其对低劣化等级下的故障,故障检测正确率最高时可高出94％....

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Published in制冷学报 Vol. 41; no. 2; pp. 87 - 92
Main Authors 王占伟, 王林, 袁俊飞, 谈莹莹, 周西文
Format Journal Article
LanguageChinese
Published 河南科技大学制冷热泵空调技术研究所 洛阳 471023 01.04.2020
Subjects
故障检测
贝叶斯网络
距离拒绝
冷水机组
Online AccessGet full text
ISSN0253-4339
DOI10.3969/j.issn.0253-4339.2020.02.087

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Abstract TB657.2%TU831.3; 在冷水机组现场的故障数据通常难以获得,这是导致基于多分类算法的故障检测方法未被广泛现场应用的主要障碍之一.本文将距离拒绝(DR)机制融入贝叶斯网络(BN)中,将冷水机组故障检测转化为一类划分问题,提出一种基于DR-BN的冷水机组故障检测方法,该方法仅使用正常数据训练模型,从而有效克服上述障碍.本文通过使用ASHRAE RP-1043的故障实验数据对提出方法的性能进行验证,并与传统方法的性能进行了对比,可知基于DR-BN的模型具有更高的故障检测性能,尤其对低劣化等级下的故障,故障检测正确率最高时可高出94％.
AbstractList TB657.2%TU831.3; 在冷水机组现场的故障数据通常难以获得,这是导致基于多分类算法的故障检测方法未被广泛现场应用的主要障碍之一.本文将距离拒绝(DR)机制融入贝叶斯网络(BN)中,将冷水机组故障检测转化为一类划分问题,提出一种基于DR-BN的冷水机组故障检测方法,该方法仅使用正常数据训练模型,从而有效克服上述障碍.本文通过使用ASHRAE RP-1043的故障实验数据对提出方法的性能进行验证,并与传统方法的性能进行了对比,可知基于DR-BN的模型具有更高的故障检测性能,尤其对低劣化等级下的故障,故障检测正确率最高时可高出94％.
Author 王林
周西文
王占伟
谈莹莹
袁俊飞
AuthorAffiliation 河南科技大学制冷热泵空调技术研究所 洛阳 471023
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Author_FL Yuan Junfei
Wang Zhanwei
Zhou Xiwen
Wang Lin
Tan Yingying
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DocumentTitle_FL Fault Detection for Chiller Based on DR-BN
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贝叶斯网络
距离拒绝
冷水机组
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Title 基于DR-BN的冷水机组故障检测
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