Abstract
Malfunctioning control, operation, and building equipment, such as unstable control loop, biased sensor, and stuck outdoor air damper, are considered as the top cause for “deficient” building systems. In this article, types of faults that are commonly observed in a building system are introduced firstly. Literature-reported fault detection and diagnosis methods for building systems are then briefly summarized, which is followed by a discussion on the technical challenges in building system fault detection and diagnosis areas. Other topics, such as impacts that a fault could cause to a building, how to evaluate a fault detection and diagnosis method, and issues related to implementing a fault testing, are reviewed next. Future directions in this area are presented at the end of this article.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Bibliography
Granderson J (2018) Automated Fault Detection and Diagnostics (AFDD) performance testing. Available from: https://www.energy.gov/sites/prod/files/2018/05/f52/32601_Granderson_050218-835.pdf
Haves P (1999) Overview of diagnostic methods. In: Proceedings of the workshop on diagnostics for commercial buildings: from research to practice
Katipamula S, Brambley MR (2005a) Review article: methods for fault detection, diagnostics, and prognostics for building systems—a review, Part I. HVAC&R Res 11(1):3–25
Katipamula S, Brambley MR (2005b) Review article: methods for fault detection, diagnostics, and prognostics for building systems—a review, part II. HVAC&R Res 11(2):169–187
Kim W, Katipamula S (2018) A review of fault detection and diagnostics methods for building systems. Sci Technol Built Environ 24(1):3–21
Li H, Braun JE (2007) A methodology for diagnosing multiple simultaneous faults in vapor-compression air conditioners. HVAC&R Res 13(2):369–395
Roth KW et al (2004) The energy impact of faults in US commercial buildings
Wen J, Li S (2012) RP-1312 – tools for evaluating fault detection and diagnostic methods for air-handling units ashrae Research Final Report (RP 1312), Atlanta, GA, USA
Yuill DP, Braun JE (2013) Evaluating the performance of fault detection and diagnostics protocols applied to air-cooled unitary air-conditioning equipment. HVAC&R Res 19(7):882–891
Zhao Y, Xiao F, Wang S (2013) An intelligent chiller fault detection and diagnosis methodology using Bayesian belief network. Energy Build. 57:278–288
Zhao Y, Wen J, Wang S (2015) Diagnostic Bayesian networks for diagnosing air handling units faults – Part II: faults in coils and sensors. Appl Therm Eng 90: 145–157
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this entry
Cite this entry
Wen, J., Chen, Y., Regnier, A. (2021). Building Fault Detection and Diagnostics. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, Cham. https://doi.org/10.1007/978-3-030-44184-5_100080
Download citation
DOI: https://doi.org/10.1007/978-3-030-44184-5_100080
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-44183-8
Online ISBN: 978-3-030-44184-5
eBook Packages: Intelligent Technologies and RoboticsReference Module Computer Science and Engineering