A hybrid multiple sensor fault detection, diagnosis and reconstruction algorithm for chiller plants-Reference-Cited by-同舟云学术

A hybrid multiple sensor fault detection, diagnosis and reconstruction algorithm for chiller plants

Published:2023-03-22 Issue:5 Volume:16 Page:588-608
ISSN:1940-1493
Container-title:Journal of Building Performance Simulation
language:en
Short-container-title:Journal of Building Performance Simulation

Author:

Fong K. F.¹^ORCID,Lee C. K.¹,Leung M. K. H.²,Sun Y. J.¹,Zhu Guangya³,Baek Seung Hyo⁴,Luo X. J.⁵,Lo Tim Ka Kui⁶,Leung Hetty Sin Ying⁶

Affiliation:

1. Division of Building Science and Technology, College of Engineering, City University of Hong Kong, Hong Kong, China

2. School of Energy and Environment, City University of Hong Kong, Hong Kong, China

3. College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

4. Division of Architecture, Mokwon University, Daejeon, Korea

5. Department of Accounting, Economics and Finance, Faculty of Business and Law, University of the West of England, Bristol, UK

6. Smart Infrastructure, Siemens Limited, Hong Kong, China

Funder

Siemens Limited

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Building and Construction,Architecture

Link

https://www.tandfonline.com/doi/pdf/10.1080/19401493.2023.2189303

Reference17 articles.

1. Sensor data validation and fault diagnosis using Auto-Associative Neural Network for HVAC systems

2. A Novel Chiller Sensors Fault Diagnosis Method Based on Virtual Sensors

3. A review of fault detection and diagnostics methods for building systems

4. A sensor fault detection and diagnosis strategy for screw chiller system using support vector data description-based D-statistic and DV-contribution plots

5. Lo K. K. S. Y. Leung G. Zhu X. Lo Y. Sun Y. C. Ngau K. H. Leung S. H. Baek K. F. Fong and C. K. Lee. 2022. “A Method and a System of Sensor Fault Management.” HK Patent File No. 22021045139.3.

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