In this study, firmness classification potential of tomato fruits was investigated by using colour parameters measured with a colour measuring device. 202 'Bandita F1' greenhouse tomatoes were used as trial material. In damage free colour measurements carried out by Minolta CR-400 colour measurement device, L*, a* and b* colour parameters were considered as main parameters. Other colour parameters (a*xb*, a*2, b*2 and a*/b*) were derived from main colour parameters. These colour parameters were associated with tomato firmness. In tomato firmness measurements, the force value at the skin rupture point was used and this value was expressed as tomato firmness. Tomato samples were grouped according to firmness by using clustering analysis method. In addition, linear discrimination analysis method was used in the classification of tomatoes according to firmness. Classification accuracy was improved by linear discrimination analysis and the number of parameters used was decreased with stepwise regression analysis method. The association between tomato firmness and colour parameters (L*, a*, b*, a*xb*, a*2, b*2 and a*/b*) was determined with Pearson Correlation test. Statistical analysis results showed that the association between tomato firmness and colour parameters was significant (P<0.01). According to linear discrimination analysis results, linear classification accuracy was calculated as 85.64% for main colour parameters approach and as 90.59% for seven colour parameters approach. The results of linear discrimination analysis performed by using the most important three colour parameters determined with stepwise regression analysis method showed that correct classification accuracy of tomatoes was 89.10%. The results showed that firmness classification of tomatoes could be done by using colour parameters and linear discrimination analysis method. Domates meyvelerinin renk parametrelerine göre sertlik sınıflandırmasıKeywords: Tomato firmness Maturity stage Colour parameters Clustering analysis Linear discrimination analysis ÖZET Bu çalışmada, renk ölçüm cihazı ile ölçülen renk parametreleri kullanılarak domates meyvelerinin sertlik sınıflandırma potansiyeli araştırılmıştır. Deneme materyali olarak 202 adet 'Bandita F1' sera domatesleri kullanılmıştır. Minolta CR-400 model renk ölçüm cihazı kullanılarak yapılan hasarsız renk ölçümlerinde, L*, a* ve b* renk parametreleri ana parametreler olarak dikkate alınmıştır. Diğer renk parametreleri (a*xb*, a*2, b*2 ve a*/b*) ana renk parametrelerinden türetilmiştir. Bu renk parametreleri, domates sertliği ile ilişkilendirilmiştir. Domates sertliği ölçümlerinde, kabuk yırtılma noktasındaki kuvvet değeri kullanılmış ve bu değer domates sertliği olarak ifade edilmiştir. Kümeleme analiz yöntemi kullanılarak domates örnekleri sertliğine göre gruplandırılmıştır. Ayrıca, domateslerin sertliğine göre sınıflandırma işlemlerinde, doğrusal ayırma analiz yöntemi kullanılmıştır. Sınıflandırma hassasiyeti doğrusal ayırma analizi ile iyileştirilmiş ve kullanılan parametre sayısı stepwise regr...
Article history:Asynchronous motors are frequently used in many industrial applications, especially pumps and fans. Placement, bearing and coupling faults are common faults in these types of engines. Misalignment error is a common type of error that is seen very often among these errors. This error may cause efficiency decrease in a short run and vibration may cause short circuit and wear in moving parts in the stator windings in a long run. Early diagnosis of such faults is important in terms of machine health and productivity. In this study, loose connection and angular imbalance of the asynchronous machine were investigated. In the experimental works, a 1 Phase 0.75 KW power asynchronous motor, Y-0036-024A Electromagnetic Brake and SKF Microlog vibration meter were used during the measurements. The Frequency components of motor caused by the settlement errors were investigated under the different loads. A loose assembly error and angular imbalance were investigated from the misalignment errors. The engine was run idle and without any positioning errors and measurements were taken from different points with the accelerometer and the frequency spectrum examined. Measurements are repeated when the misalignment errors are occurred on purpose and the FFT frequency components were compared under the load of 12.50Nm using magnetic brake. The results show that the FFT frequency components are examined and the placement error can be determined with high success and accuracy. It has been found that harmonic components are formed in the frequency spectrum at 25Hz Coefficients. After the settlement error is generated it is seen that, undesired frequency components that are unloaded are lowered under load when the frequency spectra is examined. In this study, theoretical and experimental comparisons of settlement errors are made. Although many errors in this subject are examined in the same publication in general, only the results of the settlement errors are examined specifically as a contribution to the literature. The results and graphs are presented comparatively to the reader's knowledge. © 2019, Advanced Researches and Engineering Journal (IAREJ) and the Author(s).
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