Fault Detection And Diagnosis For Air Conditioners And Heat Pumps Based On Virtual Sensors
نویسندگان
چکیده
Kim, Woohyun. Ph.D., Purdue University, December 2013. Fault Detection and Diagnosis for Air Conditioners and Heat Pumps based on Virtual Sensors. Major Professor: James E. Braun, School of Mechanical Engineering. The primary goal of this research is to develop and demonstrate an integrated, on-line performance monitoring and diagnostic system with low cost sensors for air conditioning and heat pump equipment. Automated fault detection and diagnostics (FDD) has the potential for improving energy efficiency along with reducing service costs and comfort complaints. To achieve this goal, virtual sensors with low cost measurements and simple models were developed to estimate quantities that would be expensive and or difficult to measure directly. A virtual refrigerant charge sensor (VRC) was extended with three approaches for determining refrigerant charge for equipment having variable-speed compressors and fans. Three different virtual refrigerant mass flow (VRMF) sensors were evaluated for estimating refrigerant mass flow rate. The first model uses a compressor map that relates refrigerant flow rate to measurements of condensing and evaporating saturation temperature, and inlet temperature measurements. The second model uses a compressor energy balance with the power consumption from a virtual compressor power (VCP) sensor and energy heat loss model, which is relatively independent of compressor and expansion valve faults that influence mass flow rate. The third model was developed
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