Automatic fault detection baseline construction for building HVAC systems using joint entropy and enthalpy

Jiajing Huang, Teresa Wu, Hyunsoo Yoon, Ojas Pradhan, Jin Win, Zheng O'Neill

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Studies indicate that a large energy saving can be realized by applying automatic fault detection and diagnosis (AFDD) to building systems, which consumes more than 40% of the primary energy in the U.S. To enable AFDD, a baseline depicting the normal operation mode is needed to detect whether the building operation deviates from normality. Different from many other systems, a building system behaves differently under different weather conditions and hence needs its baseline model to reflect such weather dependence. Existing research shows baseline constructed using nonlinear mathematical models has performed well. However, determining the sample size, which is necessary to capture the totality of data space needed for accurate baseline construction, relies on trial-and-error experiments conducted offline. There is a lack of easy-to-use method that can provide guidance on whether enough sample size has been collected for baseline construction. In this research, we have developed a data-driven approach for AFDD baseline model construction based on information entropy, in conjunction with enthalpy, a measurement of outdoor air conditions to reflect weather conditions. The developed method is compared with our previously-reported baseline construction method using real building data.

Original languageEnglish (US)
Title of host publicationIISE Annual Conference and Expo 2021
EditorsA. Ghate, K. Krishnaiyer, K. Paynabar
PublisherInstitute of Industrial and Systems Engineers, IISE
Number of pages6
ISBN (Electronic)9781713838470
StatePublished - 2021
EventIISE Annual Conference and Expo 2021 - Virtual, Online
Duration: May 22 2021May 25 2021

Publication series

NameIISE Annual Conference and Expo 2021


ConferenceIISE Annual Conference and Expo 2021
CityVirtual, Online


  • Building engineering
  • Data-driven approach
  • Energy
  • Fault detection and diagnosis
  • Information entropy

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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