Unsupervised feature selection using swarm intelligence and consensus clustering for automatic fault detection and diagnosis in Heating Ventilation and Air Conditioning systems-Reference-Cited by-同舟云学术

Unsupervised feature selection using swarm intelligence and consensus clustering for automatic fault detection and diagnosis in Heating Ventilation and Air Conditioning systems

Published:2015-09 Issue: Volume:34 Page:402-425
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Yuwono Mitchell^ORCID,Guo Ying,Wall Josh,Li Jiaming,West Sam,Platt Glenn^ORCID,Su Steven W.

Funder

The Commonwealth Scientific and Industrial Research Organisation (CSIRO)

Publisher

Elsevier BV

Subject

Software

Reference35 articles.

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4. Opticool;Ward,2013

5. Model-based fault detection and diagnosis of HVAC systems using support vector machine method;Liang;Int. J. Refrig.,2007

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