Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F14%3A00226758" target="_blank" >RIV/68407700:21730/14:00226758 - isvavai.cz</a>

Result on the web

<a href="http://www.sciencedirect.com/science/article/pii/S1876610214034341" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1876610214034341</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.egypro.2014.12.403" target="_blank" >10.1016/j.egypro.2014.12.403</a>

Result language

angličtina

Original language name

Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis

Original language description

In the building energy efficiency field, developing automatic and accurate fault detection and diagnosis methods is necessary in order to ensure optimal operations of systems and to save energy. In this paper first, fault detection analysis based on statistical methods where anomalies are detected through a comparison with neighborhood and averaged fault-free values and through a clustering technique is performed. Following the fault detection step, a fault diagnosis analysis based on fuzzy sets and fuzzy logic is implemented. Experimentation is carried out over a one day monitoring data set in December 2013 for the fan coil electric consumption of an actual office building located at ENEA `Casaccia’ Research Centre. Results show the effectiveness of proposed approaches in automatic detection and diagnosis of abnormal building fan coil electric consumption.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Energy Procedia - Proceedings of the 6th International Conference on Sustainability in Energy and Buildings

ISBN

—

ISSN

1876-6102

e-ISSN

1876-6102

Number of pages

10

Pages from-to

411-420

Publisher name

Elsevier Ltd

Place of publication

Oxford

Event location

Cardiff

Event date

Jun 25, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000355734100042