TY - JOUR
T1 - Implementing Fuzzy Logic as a Control and Monitor of Oil Quality Using Android
AU - Suhanto,
AU - Faizah, F.
AU - Kustori,
AU - Setiyo,
AU - Suwito,
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/3/23
Y1 - 2021/3/23
N2 - Viscosity oil index becomes the prominent indicator in the process of engine generator set lubrication. This simulation design used to inform the oil quality and switch off the generator set when the oil quality is not moderate. DC motor rotation and rotary encoder utilize as controller of oil viscosity. Optocoupler sensor is an RPM controller, LDR light sensor is an oil brightness indicator. DS18B20 sensor is the indicator of temperature when the oil work is at low state 0 C-30 C, normal 30 C-50 C and overheat condition is 50 C-100 C, microcontroller Arduino Uno and fuzzy logic as the software and android as the display. The feasibility test design of the oil generator set microcontroller base using fuzzy logic was obtained as a result of rotation viscosity, oil color, and temperature on an android display to distinguish the good oil quality, medium and moderate. Therefore, this result applies to the pre-alarm on the generator set.
AB - Viscosity oil index becomes the prominent indicator in the process of engine generator set lubrication. This simulation design used to inform the oil quality and switch off the generator set when the oil quality is not moderate. DC motor rotation and rotary encoder utilize as controller of oil viscosity. Optocoupler sensor is an RPM controller, LDR light sensor is an oil brightness indicator. DS18B20 sensor is the indicator of temperature when the oil work is at low state 0 C-30 C, normal 30 C-50 C and overheat condition is 50 C-100 C, microcontroller Arduino Uno and fuzzy logic as the software and android as the display. The feasibility test design of the oil generator set microcontroller base using fuzzy logic was obtained as a result of rotation viscosity, oil color, and temperature on an android display to distinguish the good oil quality, medium and moderate. Therefore, this result applies to the pre-alarm on the generator set.
UR - http://www.scopus.com/inward/record.url?scp=85103489129&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1845/1/012056
DO - 10.1088/1742-6596/1845/1/012056
M3 - Conference article
AN - SCOPUS:85103489129
SN - 1742-6588
VL - 1845
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012056
T2 - 1st International Conference on Industrial Automation, Smart Grid and its Application, ICIASGA 2020
Y2 - 4 November 2020 through 5 November 2020
ER -