Research on Identification of Unknown Modes for Air-Conditioning Based on GMM

LI Dong-hui; HE Peng-lin

doi:10.3969/j.issn.0372-2112.2014.10.021

您当前的位置：

首页 >

文章列表页 >

Research on Identification of Unknown Modes for Air-Conditioning Based on GMM

更新时间：2025-07-16

- Research on Identification of Unknown Modes for Air-Conditioning Based on GMM
- Acta Electronica Sinica Vol. 42, Issue 10, Pages: 2004-2008(2014)
- 作者机构：
  
  天津大学电气与自动化工程学院,天津,300072
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2014.10.021
  CLC： TP23
- Published：2014
- 稿件说明：
移动端阅览
LI Dong-hui, HE Peng-lin. Research on Identification of Unknown Modes for Air-Conditioning Based on GMM[J]. Acta Electronica Sinica, 2014, 42(10): 2004-2008.
DOI：

LI Dong-hui, HE Peng-lin. Research on Identification of Unknown Modes for Air-Conditioning Based on GMM[J]. Acta Electronica Sinica, 2014, 42(10): 2004-2008. DOI： 10.3969/j.issn.0372-2112.2014.10.021.

摘要

智能建筑空调机组故障检测与诊断是保证建筑环境安全、舒适、节能的基本方法.然而

多未知模态辨识仍是其中的关键难点之一.鉴于高斯混合模型(GMM)不受特定概率分布局限

可在区分类别的基础上直接得出数据的统计分布

具有优越的计算性能

且能拟合任意连续分布

本文提出一种基于GMM的空调机组多未知模态辨识方法.仿真试验结果表明

GMM聚类方法在空调机组运行模态辨识中具有较高的准确性与可靠性.

Abstract

Fault detection and diagnosis for Air-Conditioning(AC)system in intelligent building is the guarantee of building safety

comfort and energy-saving.However

the identification of unknown modes for AC system is still one of the key difficulties.The Gaussian Mixture Model(GMM)is not confined to a specified probability distribution and the distribution of given data can be obtained on the basis of classification.With excellent computing performance any continuous distribution can be fitted via GMM.Hence

a new idea of clustering based on GMM to identify the unknown operation modes in AC is developed.The simulation experiment has qualified the accuracy and reliability of this GMM mode identification approach.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Speaker Recognition Based on Adaptive Niche Hybrid Genetic Algorithms

Related Author

LIN Lin

WANG Shu-xun

LI Mao-hai

HONG Bing-rong

CAI Ze-su

Related Institution

College of Communication Engineering, Jilin University

哈尔滨工业大学计算机科学与技术学院

⁰