A hybrid clustering multi-source fault diagnosis method for chiller temperature sensors
| Author(s): |
Xiuying Yan
(School of Building Services Science and Engineering, Xi’an University of Architecture, and Technology, Xi’an, Shaanxi 710055, People’s Republic of China)
Guangyu Liu (School of Building Services Science and Engineering, Xi’an University of Architecture, and Technology, Xi’an, Shaanxi 710055, People’s Republic of China) Boyan Zhang (College of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, People’s Republic of China) Kaixing Fan (School of Architecture, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, People’s Republic of China) Jun Li (LiTian Energy conservation and environmental protection company, Shenzhen, Guangdong 518102, People’s Republic of China) Yifan Du (College of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, People’s Republic of China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Journal of Building Performance Simulation, October 2022, n. 2, v. 16 |
| Page(s): | 1-13 |
| DOI: | 10.1080/19401493.2022.2126011 |
- About this
data sheet - Reference-ID
10702025 - Published on:
16/12/2022 - Last updated on:
19/02/2023
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