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  • 标题:Distributed Clustering-based Sensor Fault Diagnosis for HVAC Systems
  • 本地全文:下载
  • 作者:Francesca Boem ; Redona Reci ; Angelo Cenedese
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:4197-4202
  • DOI:10.1016/j.ifacol.2017.08.811
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe paper presents a distributed Sensor Fault Diagnosis architecture for Industrial Wireless Sensor Networks monitoring HVAC systems, by exploiting a recently proposed distributed clustering method. The approach allows the detection and isolation of multiple sensor faults and considers the possible presence of modeling uncertainties and disturbances. Detectability and isolability conditions are provided. Simulation results show the effectiveness of the proposed method for an HVAC system.
  • 关键词:KeywordsSensor NetworksDistributed Fault DiagnosisBuilding AutomationClusteringSensor FaultsHVAC Systems
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