A cosine-based correlation information entropy approach for building automatic fault detection baseline construction

Jiajing Huang, Hyunsoo Yoon, Ojas Pradhan, Teresa Wu, Jin Wen, Zheng O’neill, Kasim Selcuk Candan

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Building automatic fault detection and diagnosis (AFDD) technologies have shown great potential for energy savings. To enable AFDD, a baseline depicting the normal operation mode is needed to detect whether the building operation deviates from normality. Existing research using physics-based knowledge and models for AFDD has mainly taken a trial-and-error approach to determine if a given baseline is sufficient via empirical experiments. A mechanism to support decisions such as how many samples and what samples should be included in the baseline is currently lacking. In this study, a data-driven method for AFDD baseline construction based on information entropy is developed. The entropy is derived based on cosine similarity among typical building automation system measurements in conjunction with outdoor weather information. The performance of the proposed method is evaluated using real building data. Evaluation results indicate that the fault detection strategy adopting the proposed method has similar or better accuracy in detecting faults compared to the same fault detection strategy using the baseline construction method from the literature. In addition, the use of entropy enables the proposed method to automatically construct and assess the baseline consisting of information-rich samples.

Original languageEnglish
Pages (from-to)1138-1149
Number of pages12
JournalScience and Technology for the Built Environment
Issue number9
Publication statusPublished - 2022

Bibliographical note

Funding Information:
We gratefully thank DOE CYDRES Project (Securing Grid-interactive Efficient Buildings (GEB) through Cyber Defense and Resilient System (CYDRES)) for support for this work.

Publisher Copyright:
© Copyright © 2022 ASHRAE.

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Building and Construction
  • Fluid Flow and Transfer Processes


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