Model-Based Diagnosis of Telecommunication Cooling Systems Malfunctioning

A model is developed that allows simulating the most-likely failures possibly occurring in freecooling (FC) systems of telecommunication (TLC) switching rooms. Main aim is to provide an effective and online implementable diagnosis method, which in turn will allow fulfilling the threefold function of...

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Main Authors: Sorrentino Marco, Trifirò Alena
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/14/e3sconf_100res2021_10003.pdf
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spelling doaj-680fcc22e8554af3a6f40c4df14d48a22021-02-18T10:43:47ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012381000310.1051/e3sconf/202123810003e3sconf_100res2021_10003Model-Based Diagnosis of Telecommunication Cooling Systems MalfunctioningSorrentino Marco0Trifirò Alena1Department of Industrial Engineering, University of SalernoTIM, Procurement/Energy Management Planning, Engineering and DeploymentA model is developed that allows simulating the most-likely failures possibly occurring in freecooling (FC) systems of telecommunication (TLC) switching rooms. Main aim is to provide an effective and online implementable diagnosis method, which in turn will allow fulfilling the threefold function of safeguarding electronic equipment, ensuring desired air quality in case of human presence and reducing malfunction-related waste of energy. Specifically in this work, obstruction (reduction of the volumetric flow of air introduced into the room) and loss of efficiency (degradation of the fan) are deepened. Two black-box sub-models were developed to simulate the above described faulty functioning of the free-coolers. Subsequently, the fault signature matrix was developed, through which the “symptoms”, calculated as residuals between the “faulty” and “non faulty” conditions of the monitored variables, are associated to the corresponding faults. The peculiarity of the telecommunication sector, where nowadays data acquisition and monitoring platforms are significantly spreading to monitor most significant energy consumptions, including cooling loads, was proved essential in guaranteeing effective isolation of different faults. The simulation results highlight the reliability of the developed diagnostic tool, expected to be versatile and easy to implement enough for being extended to air-handling unit diagnosis, as well as other industrial sectors.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/14/e3sconf_100res2021_10003.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Sorrentino Marco
Trifirò Alena
spellingShingle Sorrentino Marco
Trifirò Alena
Model-Based Diagnosis of Telecommunication Cooling Systems Malfunctioning
E3S Web of Conferences
author_facet Sorrentino Marco
Trifirò Alena
author_sort Sorrentino Marco
title Model-Based Diagnosis of Telecommunication Cooling Systems Malfunctioning
title_short Model-Based Diagnosis of Telecommunication Cooling Systems Malfunctioning
title_full Model-Based Diagnosis of Telecommunication Cooling Systems Malfunctioning
title_fullStr Model-Based Diagnosis of Telecommunication Cooling Systems Malfunctioning
title_full_unstemmed Model-Based Diagnosis of Telecommunication Cooling Systems Malfunctioning
title_sort model-based diagnosis of telecommunication cooling systems malfunctioning
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description A model is developed that allows simulating the most-likely failures possibly occurring in freecooling (FC) systems of telecommunication (TLC) switching rooms. Main aim is to provide an effective and online implementable diagnosis method, which in turn will allow fulfilling the threefold function of safeguarding electronic equipment, ensuring desired air quality in case of human presence and reducing malfunction-related waste of energy. Specifically in this work, obstruction (reduction of the volumetric flow of air introduced into the room) and loss of efficiency (degradation of the fan) are deepened. Two black-box sub-models were developed to simulate the above described faulty functioning of the free-coolers. Subsequently, the fault signature matrix was developed, through which the “symptoms”, calculated as residuals between the “faulty” and “non faulty” conditions of the monitored variables, are associated to the corresponding faults. The peculiarity of the telecommunication sector, where nowadays data acquisition and monitoring platforms are significantly spreading to monitor most significant energy consumptions, including cooling loads, was proved essential in guaranteeing effective isolation of different faults. The simulation results highlight the reliability of the developed diagnostic tool, expected to be versatile and easy to implement enough for being extended to air-handling unit diagnosis, as well as other industrial sectors.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/14/e3sconf_100res2021_10003.pdf
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