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

Abstract

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.

Engine oil quality deterioration estimation using an integrated sensory system

“…According to literature survey, absorption peaks are observed near wave numbers 970 cm − 1 and 860 cm − 1 . These numbers have a Previous research showed the possibility of using colour features to analyse particles for automated wear debris classi cation (Myshkin et al, 2001).Published literature shows use of an optical colour sensor with a blue LED as a light source and LDR or colour scale as per the ASTM D1500 standard for colour analysis (Suhanto et al, 2021). That displays a strong correlation to a change in voltage across LDR with the pH value and the viscosity of the oil (Kumar et al, 2005).The RGB sensor output in three wavelengths viz.…”