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Journal : Jurnal ULTIMA Computing

Metode Estimasi Suhu Minyak pada Transformator Tenaga melalui Pengukuran Suhu Body Berbasis IoT Rizal Alfa Rizki; Dista Yoel Tadeus; Fakhruddin Mangkusasmito; Heru Winarno; Eko Ariyanto
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 2 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v12i2.1783

Abstract

Oil cooled power transformer has important role in the electricity distribution system. Its windings were immersed in oil as an insulating medium and also as a cooler. This oil would be heated up due to several things, the most significant was heat generated by winding’s power loss. The monitoring of oil temperature on the transformer was always done routinely every day to maintain its performance and health condition. IoT based measurements could improved efficiency and minimized manpower resources. To realize this the indirect non-destructive measurement method was proposed to estimate transformator’s temperature oil. It will corellate the oil temperature and body temperature through a constant calibration factor derived from calculations. Conducted experiment applied to specific existing transformator and followed by calculations resulted a calibration factor = 1.7749. The smallest average of estimated temperature error was lied in the range of 40 - 90 degrees Celcius.
Peningkatan Akurasi Sensor GY-521 MPU-6050 dengan Metode Koreksi Faktor Drift Fakhruddin Mangkusasmito; Dista Yoel Tadeus; Heru Winarno; Eko Winarno
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 2 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v12i2.1791

Abstract

GY-521 MPU-6050 Module is a core module MPU-6050, which is a 6 axis Motion Processing Unit. This sensor can be categorized as an Inertial Measurement Unit (IMU) sensor, which utilizes measurement systems such as gyroscopes and accelerometers to estimate the relative position, velocity, and acceleration of an object. A common accuracy problem in using IMU sensors, including the GY-521 MPU-6050, is the drifting phenomenon. This phenomenon results in a deviation between the actual conditions (position, angular velocity) and the sensor readings. Drift is caused by the accumulation of errors that arise from calculating the integral of the acceleration. This study proposes a drift error correction method at the sensor output using the calibration of the calculation of the average offset error sensor and the sensor fusion method between the information obtained from the gyroscope and accelerometer in the module, the tests were carried out using the Arduino Uno microcontroller. From the test results, it is found that the combination of the initial system calibration implementation and the use of the fusion sensor concept can provide better performance with the MSE analysis results for the roll position of 0.0029o and the pitch position of 0.0047o and the drifting error rate at the yaw angle position of 0 0082o / second or down 62.72%.