Sensor fault identification and reconstruction of indoor air quality (IAQ) data using a multivariate non-Gaussian model in underground building space-Reference-Cited by-同舟云学术

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Sensor fault identification and reconstruction of indoor air quality (IAQ) data using a multivariate non-Gaussian model in underground building space

Published:2013-11 Issue: Volume:66 Page:384-394
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Kim MinJeong,Liu Hongbin,Kim Jeong Tai,Yoo ChangKyoo

Funder

Korea government

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference34 articles.

1. Chemical compositions of subway particles in Seoul, Korea determined by a quantitative single particle analysis;Kang;Environmental Science & Technology,2008

2. Multivariate monitoring and local interpretation of indoor air quality in Seoul's metro system;Kim;Environmental Engineering Science,2010

3. Monitoring and prediction of indoor air quality (IAQ) in subway or metro systems using season dependent models;Kim;Energy and Buildings,2012

4. The effect of perceived indoor air quality on productivity loss;Kosonen;Energy and Buildings,2004

5. Protecting a whole building from critical indoor contamination with optimal sensor network design and source identification methods;Liu;Energy and Buildings,2009

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