Conference proceeding
Whole Building System Fault Detection Based on Weather Pattern Matching and PCA Method
CONFERENCE PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), pp.728-732
01 Jan 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Multivariate statistical process analysis (MSPA) methods have been widely employed for component level fault detection in buildings. An MSPA method named as weather pattern matching (PM) and principal component analysis (PCA) method is proposed for whole building system fault detection. This method is modified from a component level fault detection method which is proved effective in detecting faults in air handling unit (AHU) and variable air volume (VAV) terminal. In the proposed method, Symbolic Aggregate approXimation (SAX) method is employed to find similar weather pattern in historical database to accurately generate dynamic baseline dataset for PCA model to detect system faults. One real building data is used to evaluate the effectiveness of the proposed method.
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Details
- Title
- Whole Building System Fault Detection Based on Weather Pattern Matching and PCA Method
- Creators
- Yimin Chen - Drexel Univ, Engn, Dept Civil Architectural & Environm, Philadelphia, PA 19104 USAJin Wen - Drexel UniversityIEEE
- Publication Details
- CONFERENCE PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), pp.728-732
- Conference
- 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), 3rd
- Publisher
- IEEE
- Number of pages
- 5
- Grant note
- DE-FOA-0001167 / Department of Energy, USA; United States Department of Energy (DOE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Identifiers
- 991019170489904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic