Implementing Fuzzy Logic as a Control and Monitor of Oil Quality Using Android

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.