Abstract
Development of a reference model to predict the value of system parameters during fault-free operation is a basic step for fault detection and diagnosis (FDD). In order to develop an accurate and effective reference model of a heat pump system, experimental data that cover a wide range of operating conditions are required. In this study, laboratory data were collected under various operating conditions and then filtered through a moving window steady-state detector. Over five thousand scans of steady-state data were used to develop polynomial regression models of seven system features. A reference model was also developed using an artificial neural network (ANN), and it is compared to the polynomial models.
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This paper was recommended for publication in revised form by Associate Editor Yong Tae Kang
Minsung Kim is a senior researcher of New and Renewable Energy Department at Korea Institute of Energy Research. He received Ph.D. degree in School of Mechanical and Aerospace Engineering from Seoul National University in 2002. His research interest includes residential and commercial heat pumps, building energy management, fault detection and diagnosis, and solar/geothermal energy applications. He recently worked on the development of industrial heat pump for high temperature generation.
Seok Ho Yoon is a senior researcher of Environment and Energy Systems Division at Korea Institute of Machinery and Materials. He received Ph.D. degree in School of Mechanical and Aerospace Engineering from Seoul National University in 2002. His research interest includes heat pumps, heat exchangers, and equipments of energy plant.
W. Vance Payne is a research engineer of HVAC&R Equipment Performance Group in National Institute of Standards and Technology (NIST). He received Ph.D. degree in Mechanical Engineering at Texas A&M University in 1997. His research has mainly focused on heat pumps and air conditioners, and recently on fault detection and diagnostics. He also worked on an alternate rating method for mixed system air-conditioners or heat pumps, on mass flow correlations for short tube expansion devices, and on HCFC replacement refrigerants.
Piotr A. Domanski is a leader of HVAC&R Equipment Performance Group in National Institute of Standards and Technology (NIST). He received Ph.D. degree in Mechanical Engineering at Catholic University of America in 1982. He dedicated himself in developing advanced heat pump simulation models like HPSIM, CYCLE-11, CYCLE_D, and EVAPCOND. Currently, Dr. Domanski’s research focuses on the development of measurement science needed to improve the performance of HVAC equipment for building application in current and net-zero energy buildings. His interest covers evolutionary computation-based optimization methods, automated commissioning, and fault detection and diagnostics.
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Kim, M., Yoon, S.H., Payne, W.V. et al. Development of the reference model for a residential heat pump system for cooling mode fault detection and diagnosis. J Mech Sci Technol 24, 1481–1489 (2010). https://doi.org/10.1007/s12206-010-0408-2
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DOI: https://doi.org/10.1007/s12206-010-0408-2