Değişken Hızlı Soğutma Sisteminin Analizi İçin Veri Madenciliği Yaklaşımı

Year 2015, Volume: 19 Issue: 1, 19 - 26, 17.02.2015

Önder Kızılkan Ecir Küçüksille , Ahmet Kabul

Abstract

Bu çalışmanın amacı, veri Madenciliği tekniği kullanılarak değişken hızlı kompresörlü deneysel bir soğutma sisteminin performansının modellenmesidir. Soğutma sisteminin kapasitesinin değiştirilmesi için, Soğutma sistemlerinin kapasitesini değiştirmenin en iyi yöntemlerinden birisi kompresör motor hızının bir frekans invertörü ile kontrol edilmesidir. Bu amaçla, kompresör elektrik motorunun hızının frekans invertörü ile ayarlanabildiği bir deneysel soğutma sistemi kurulmuştur. Deneyler elektrik motorunun frekansının 35 Hz ile 50 Hz aralığında yapılmıştır. Sistem performansının belirlenmesi deneysel ölçümlerden alınan gerçek veriler kullanılarak veri madenciliği tekniği uygulanmıştır. Sonuç olarak, farklı kompresör frekansları ve soğutma yüklerindeki sistem karakteristiklerini belirlenmesinde birçok deney yapmak yerine veri madenciliği tekniğinin kullanılmasının uygun olduğu tespit edilmiştir.

Keywords

Veri madenciliği, Değişken hız, Soğutma, Frekans

Data Mining Approach for Analysis of Variable Speed Refrigeration System

Abstract

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

Keywords

Data mining, Variable speed, Refrigeration, Frequency

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