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

Journal Article · · Science and Technology for the Built Environment
 [1];  [2];  [3];  [1];  [3];  [4];  [1]
  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

Not provided.

Research Organization:
US Department of Energy (USDOE), Washington, DC (United States). Office of Energy Efficiency and Renewable Energy (EERE)
Sponsoring Organization:
USDOE
OSTI ID:
1982436
Journal Information:
Science and Technology for the Built Environment, Vol. 28, Issue 9; ISSN 2374-4731
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English

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