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Ontology-based approach for fault detection and diagnosis and fault location assessment in AHUs

; ; ;

Konferenz/Event:Linked Data in Architecture and Construction 2024 , Bochum , Germany , LDAC 2024 , 2024-06-13 - 2024-06-14

Veröffentlicht auf dem Publikationsserver der RWTH Aachen University

Online
DOI: 10.18154/RWTH-2024-06266
URL: http://publications.rwth-aachen.de/record/988555/files/988555.pdf
URL: https://linkedbuildingdata.net/ldac2024/files/posters/LDAC2024_Paper_16.pdf

Einrichtungen

  1. E.ON Energy Research Center (080052)
  2. Lehrstuhl für Gebäude- und Raumklimatechnik (419510)

Projekte

  1. BMWK-03EN1030B - EnOB: N5GEH-Serv - Weiterentwicklung der N5GEH Serviceplattform; Teilvorhaben RWTH Aachen: Energieinformationssystem-Komponenten (BMWK-03EN1030B) (BMWK-03EN1030B)

Inhaltliche Beschreibung (Schlagwörter)
Air Handling Units (frei) ; Fault Detection and Diagnosis (frei) ; Fault Detection and Diagnosis Ontology (frei) ; Fault Location Assessment (frei)

OpenAccess:
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External link:
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Dokumenttyp
Poster

Format
online

Sprache
English

Interne Identnummern
RWTH-2024-06266
Datensatz-ID: 988555

Beteiligte Länder
Germany

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The record appears in these collections:
Document types > Presentations > Posters
Faculty of Mechanical Engineering (Fac.4)
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080052
419510
 Record created 2024-07-01, last modified 2025-10-08
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