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Data Mining Approcah for Performance Analysis of Variable Speed Refrigeration System

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dc.creator KIZILKAN, Önder
dc.creator KÜÇÜKSİLLE, Ecir
dc.creator KABUL, Ahmet
dc.date 2015-02-17T11:36:42Z
dc.date.accessioned 2019-07-09T11:59:59Z
dc.date.available 2019-07-09T11:59:59Z
dc.identifier http://dergipark.org.tr/sdufenbed/issue/20806/222197
dc.identifier 10.19113/sdufbed.53755
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/46539
dc.description The aim of this study is to carry out performance modeling of an experimental refrigeration system driven by variable speed compressor using Data Mining techniques with small data sets. In order to vary the capacity of refrigeration system, one of the best methods is controlling the rotational speed of the compressor motor with a frequency inverter. For this aim, an experimental refrigeration system was designed with a frequency inverter mounted on compressor electric motor. The experiments were made for different compressor electric motor frequencies. Instead of several experiments, the use of data mining technique had been proposed to determine the system performance parameters based on various compressor frequencies and cooling loads using results of experimental analysis.
dc.description The aim of this study is to carry out performance modeling of an experimental refrigeration system driven by variable speed compressor using Data Mining techniques with small data sets. In order to vary the capacity of the refrigeration systems, one of the best methods is controlling the rotational speed of the compressor motor with a frequency inverter. For this aim, an experimental refrigeration system is setup with a frequency inverter for controlling the speed of compressor electric motor. The experiments are made for 35 Hz to 50 Hz electric motor frequencies. Data mining technique is applied to determine the system performance parameters using actual data obtained from the measurements. From the results, it is observed that data mining procedure is suitable for forecasting the system characteristics for different compressor frequencies and cooling loads instead of making several experiments
dc.format application/pdf
dc.language en
dc.publisher Süleyman Demirel University
dc.publisher Süleyman Demirel Üniversitesi
dc.relation http://dergipark.org.tr/download/article-file/194000
dc.source Volume: 19, Issue: 1 19-26 en-US
dc.source 1308-6529
dc.subject Veri madenciliği Değişken hız Soğutma Frekans
dc.subject Data mining Variable speed Refrigeration Frequency
dc.title Data Mining Approcah for Performance Analysis of Variable Speed Refrigeration System en-US
dc.type info:eu-repo/semantics/article


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