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Item type:Publication, Analysis of electric current by using MySQL database on web server for machine performance evaluation: A case study of air conditioning system(2020-10-13) ;Sriratana, Witsarut ;Khagwian, VittayaSatthamsakul, SuthamThis study developed a performance analyzing system for industrial machines by using an air conditioning system as a case study. Electricity consumption of the air conditioner compressor operating normally under controlled temperature in the room was gathered by applying the principle of quantitative data collection. Work efficiency of the system was analyzed by using the big data pattern. Due to sufficient information, it can further contribute to the application of AI (Artificial Intelligence) in analysis of the failures or causes of machine malfunctions. Data collecting system in this study was designed to analyze electric current and various parameters including power voltage, temperature and humidity, real power and power factor in order to recheck as well as increase the reliability of the system. All collected data were stored in the MySQL database on a web server and managed by phpMyAdmin that could allow users to access the information chronologically on daily, monthly, or yearly basis via a computer screen. The test results showed that the designed system was accurate with a small variation about 0.07 A or 1.78% compared to the standard digital ammeter. For power voltage, an average difference compared to the standard digital voltmeter was approximately 0.4 V or about 0.17%. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Development of compatible induction coil with pure AC for hall effect sensor: A study on metal materials thickness(2018-12-10) ;Sriratana, Witsarut ;Khwankityotha, YannadechSatthamsakul, SuthamThis study presents an analysis of the parameters to generate the electromagnetic fields of the induction coils for the application of Hall Effect sensor to classify the aluminum thickness and the classification of the metal materials. In this research three types of induction coil are considered: Type A with one layer, Type B with two layers, and Type C with three layers. Four experiments were conducted. The electromagnetic field of Type C is found to be 11.90% greater than Type B, and 29.26% greater than Type A. The core temperature of Type C with 1 A current applied was found to be 3.50% hotter than Type B and 5.14% hotter than Type A. The classification of the aluminum thickness with the frequency range of 100 Hz to 1.4 kHz are suitable for identifying the thickness of 1, 2 and 3 mm. In terms of the classification of metal materials with all the three types of the induction coil, it can be separated clearly from the samples which consist of steel, stainless steel and aluminum. The total error by using Hall Effect sensor is ±0.5702%. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Study on Influences of Metal Materials on Electromagnetic Field Generated by Pure DC and Combined DC(2018-10-15) ;Sriratana, Witsarut ;Kaewnamchai, VanisaraSriratana, ErdlekhaThis paper presents the classification of metals materials by application of Hall Effect sensor based on the eddy current method with non-destructive testing. The electromagnetic field was generated by winding an SWG 22 wire onto the ferrite core to create a solenoid. Two measurement systems are used. One uses a Pure DC supply as the excitation voltage of the electromagnetic field of the Hall Effect sensor system; while the other uses a combination of AC and DC supply, which is amplified through an integrated Class-A amplifier circuit, as the excitation voltage. Three different metal samples, namely, steel, aluminum and stainless steel were used as specimen. Current test conducted to determine the suitable current level revealed that a 0.8 A current is safe to allow tests to be conducted. Results show that the Combined DC system is capable to classify conductive materials, where the Pure DC system lacks in this functionality. The Output voltage of Hall Effect sensor to test with steel, aluminum and stainless steel is 4.68 V, 1.74 V and 3.63 V, respectively. Furthermore, the use of the Combined DC system enables aluminum thickness to be distinguished. The tolerance of the system measuring the materials when using the Pure DC and Combined DC are pm 0.0697% and pm 0.58530% respectively.
