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Journal article
A cosine-based correlation information entropy approach for building automatic fault detection baseline construction
Science & technology for the built environment, v 28(9), pp 1138-1149
27 Sep 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
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Details
- Title
- A cosine-based correlation information entropy approach for building automatic fault detection baseline construction
- Creators
- Jiajing Huang - Arizona State UniversityHyunsoo Yoon - Yonsei UniversityOjas Pradhan - Drexel UniversityTeresa Wu - Arizona State UniversityJin Wen - Drexel UniversityZheng O'neill - J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M UniversityKasim Selcuk Candan - Arizona State University
- Publication Details
- Science & technology for the built environment, v 28(9), pp 1138-1149
- Publisher
- Taylor & Francis
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000811109100001
- Scopus ID
- 2-s2.0-85131856454
- Other Identifier
- 991019231659504721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Construction & Building Technology
- Engineering, Mechanical
- Thermodynamics