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Original Articles

Virtual Refrigerant Pressure Sensors for Use in Monitoring and Fault Diagnosis of Vapor-Compression Equipment

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Pages 597-616 | Received 07 Jul 2008, Accepted 02 Oct 2008, Published online: 22 Feb 2011

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Read on this site (10)

Kevwe Andrew Ejenakevwe, Junke Wang, Yilin Jiang, Li Song & Roshan L. Kini. (2023) Automated fault detection and diagnosis of airflow and refrigerant charge faults in residential HVAC systems using IoT-enabled measurements. Science and Technology for the Built Environment 29:9, pages 887-904.
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Pedro Barandier & Antonio J. Marques Cardoso. (2023) A review of fault diagnostics in heat pumps systems. Applied Thermal Engineering 228, pages 120454.
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Yang Song, Davide Rolando, Javier Marchante Avellaneda, Gerhard Zucker & Hatef Madani. (2023) Data-driven soft sensors targeting heat pump systems. Energy Conversion and Management 279, pages 116769.
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Yifeng Hu & David P. Yuill. (2021) Effects of multiple simultaneous faults on characteristic fault detection features of a heat pump in cooling mode. Energy and Buildings 251, pages 111355.
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I. Bellanco, E. Fuentes, M. Vallès & J. Salom. (2021) A review of the fault behavior of heat pumps and measurements, detection and diagnosis methods including virtual sensors. Journal of Building Engineering 39, pages 102254.
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Woohyun Kim & Je-Hyeon Lee. (2021) Fault detection and diagnostics analysis of air conditioners using virtual sensors. Applied Thermal Engineering 191, pages 116848.
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Yechan Yun & Young Soo Chang. (2021) Refrigerant Charge Prediction of Vapor Compression Air Conditioner Based on Start-Up Characteristics. Applied Sciences 11:4, pages 1780.
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Guannan Li, Yunpeng Hu, Jiangyan Liu, Xi Fang & Jing Kang. (2021) Review on Fault Detection and Diagnosis Feature Engineering in Building Heating, Ventilation, Air Conditioning and Refrigeration Systems. IEEE Access 9, pages 2153-2187.
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Woohyun Kim & James E. Braun. (2020) Development, implementation, and evaluation of a fault detection and diagnostics system based on integrated virtual sensors and fault impact models. Energy and Buildings 228, pages 110368.
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Amir Ebrahimifakhar, Adel Kabirikopaei & David Yuill. (2020) Data-driven fault detection and diagnosis for packaged rooftop units using statistical machine learning classification methods. Energy and Buildings 225, pages 110318.
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Jian Sun, Jin Dong, Bo Shen & Wenhua Li. (2020) Virtual Pressure Sensor for Electronic Expansion Valve Control in a Vapor Compression Refrigeration System. Energies 13:18, pages 4917.
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Jun Kwon Hwang, Patrick Nzivugira Duhirwe, Geun Young Yun, Sukho Lee, Hyeongjoon Seo, Inhan Kim & Mat Santamouris. (2020) A Novel Hybrid Deep Neural Network Model to Predict the Refrigerant Charge Amount of Heat Pumps. Sustainability 12:7, pages 2914.
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Sungmin Yoon & Yuebin Yu. (2018) Strategies for virtual in-situ sensor calibration in building energy systems. Energy and Buildings 172, pages 22-34.
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Sungmin Yoon & Yuebin Yu. (2018) Hidden factors and handling strategy for accuracy of virtual in-situ sensor calibration in building energy systems: Sensitivity effect and reviving calibration. Energy and Buildings 170, pages 217-228.
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Sungmin Yoon & Yuebin Yu. (2018) Hidden factors and handling strategies on virtual in-situ sensor calibration in building energy systems: Prior information and cancellation effect. Applied Energy 212, pages 1069-1082.
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Alex Janecke, Trevor J. Terrill & Bryan P. Rasmussen. (2017) A comparison of static and dynamic fault detection techniques for transcritical refrigeration. International Journal of Refrigeration 80, pages 212-224.
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Yabin Guo, Guannan Li, Huanxin Chen, Yunpeng Hu, Limei Shen, Haorong Li, Min Hu & Jiong Li. (2017) Development of a virtual variable-speed compressor power sensor for variable refrigerant flow air conditioning system. International Journal of Refrigeration 74, pages 73-85.
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David P. Yuill & James E. Braun. (2016) Effect of the distribution of faults and operating conditions on AFDD performance evaluations. Applied Thermal Engineering 106, pages 1329-1336.
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Howard Cheung & James E. Braun. (2016) A general method for calculating the uncertainty of virtual sensors for packaged air conditioners. International Journal of Refrigeration 63, pages 225-236.
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Mo Yang, Xinzhi Zhao, Haorong Li & Wei Wang. (2013) WITHDRAWN: A smart virtual outdoor air ratio sensor in rooftop air conditioning units. Applied Thermal Engineering.
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Xinzhi Zhao, Mo Yang & Haorong Li. (2012) A virtual condenser fouling sensor for chillers. Energy and Buildings 52, pages 68-76.
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