A cosine-based correlation information entropy approach for building automatic fault detection baseline construction-Reference-Cited by-同舟云学术

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

Published:2022-06-14 Issue:9 Volume:28 Page:1138-1149
ISSN:2374-4731
Container-title:Science and Technology for the Built Environment
language:en
Short-container-title:Science and Technology for the Built Environment

Author:

Huang Jiajing¹^ORCID,Yoon Hyunsoo²^ORCID,Pradhan Ojas³^ORCID,Wu Teresa¹^ORCID,Wen Jin³^ORCID,O’neill Zheng⁴^ORCID,Candan Kasim Selcuk¹^ORCID

Affiliation:

1. School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, 85281, USA

2. Department of Industrial Engineering, Yonsei University, Seoul, 03722, Republic of Korea

3. Department of Civil, Architectural & Environmental Engineering, Drexel University, Philadelphia, PA, 19104, USA

4. J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University, College Station, TX, 77843, USA

Funder

U.S. Department of Energy

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/23744731.2022.2080110

Reference34 articles.

1. Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis

2. Feature selection using Joint Mutual Information Maximisation

3. A whole building fault detection using weather based pattern matching and feature based PCA method

4. Chen, Y. 2019. Data driven whole building fault detection and diagnostics. PhD diss., Drexel Univ.

5. Using Weather and Schedule-Based Pattern Matching and Feature-Based Principal Component Analysis for Whole Building Fault Detection—Part I Development of the Method

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