Smart oil change reminder system using viscosity sensor

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Authors: Jhuniel Jay L. Lambongog, Justine Kyle C. Ancero, Philip John T. Tumaroy, Chrisvera Gwyneth S. Aloro, Blessie T. Aquino, Cromwell F. Gopo
Cited by: 0
References: 6

Abstract

This study aimed to design and develop a smart oil change reminder system using a basic viscosity sensor to monitor engine oil condition. Results from three trials showed that the 6-month oil obtained the highest mean (100.00) and was interpreted as dirty, while the 4-month oil (81.00) was also classified as dirty and the 5-month oil (61.33) as cloudy. In contrast, the 3-month (-6.33) and 2-month (6.00) oil samples were interpreted as clear, similar to the water control sample (-21.67). These increasing mean values indicate that oil condition deteriorates as storage time increases. The study therefore concludes that the smart oil change reminder system using a basic viscosity sensor can be successfully developed as a functional and reliable low-cost device capable of monitoring engine oil condition and providing timely maintenance reminders based on actual oil quality. This finding implies that affordable and locally developed sensor-based technologies can contribute to more efficient engine maintenance practices and can serve as practical instructional tools in automotive and technical-vocational education.

Fields of Study & Subjects

Technical Engine Diagnostics and Monitoring Arduino and IoT Applications Lubricants and Their Additives

Publication details

Journal / source
World Journal of Advanced Research and Reviews
Volume
29
Issue
3
Pages
584–595
Publication date
12 March 2026
Language
EN