Fault detection and diagnosis of chillers using Bayesian network merged distance rejection and multi-source non-sensor information
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Wang et al. treated HVAC fault-detection as a one-class classification problem using only temperature readings.
“Wang et al. [829] treated HVAC fault-detection as a one-class classification problem, using only temperature readings for their predictions.”
From Tackling climate change with machine learning (2023) · cites this paper as [829]
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Zhao, Y., Li, T., Zhang, X., & Zhang, C. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.04.021 · Cited by 594 · see citing works
Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
- Authors
- Wang, Z., Wang, Z., He, S., Gu, X., & Yan, Z. F.
- Affiliations
- Xi'an University of Architecture and Technology (CN)
- Corresponding author
- Wang, Zhiwei
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 188
- Pages
- 200-214
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2559976359
- Cited by
- 138
- References
- 39
- Citations by year
- 2026: 6 · 2025: 19 · 2024: 11 · 2023: 9 · 2022: 23 · 2021: 17 · 2020: 21 · 2019: 11 · 2018: 19 · 2017: 2
- FWCI
- 8.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- “Twelfth Five-Year” National Science and Technology Support Programme (2011BAJ03B06)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Mechanical Engineering › Refrigeration and Air Conditioning Technologies
- Keywords
- Bayesian networks, one-class classification, maintenance records, false alarm rate, refrigerant leakage, building energy efficiency
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