Intelligent Engine Health Monitoring System for Enhanced Vehicle Performance

In traditional vehicle maintenance, there’s often no real-time data available, leaving drivers in the dark about important health and safety parameters. This gap can cause problems like low oil levels, poor oil quality, and overheating, which can put the vehicle and passengers at risk. This paper presents the intelligent engine health monitoring system for enhanced vehicle performance. The system uses ESP8266, ultrasonic sensor, light dependent resistor (LDR), and DS18B20 temperature sensors for continuous monitoring of the oil level, oil quality assessment, and engine temperature measurement in real-time. Oil quality assessment using RGB and white light transmission through a glass tube is proposed with improved accuracy in degradation detection. Blynk app interface in the proposed system produces the instant alert for exceeding threshold limit of sensor to ensures enhanced vehicle performance. Results demonstrate that blue light detects early-stage oil degradation, green light provides a balanced evaluation, and red light identifies severe degradation. A comparative analysis with optical color sensors and ultrasonic-based oil detection highlights the system's higher adaptability and real-time monitoring capabilities.

Authors

Publication Details

Journal
Journal of Machine Engineering
Published
2025-05-26
DOI
https://doi.org/10.36897/jme/203660
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligent Engine Health Monitoring System for Enhanced Vehicle Performance

Yogita Dubey, Roshan Umate, Khushal Damahe, Usha Ambule et al.
Journal of Machine Engineering
Advanced Measurement and Detection Methods
article

Intelligent Engine Health Monitoring System for Enhanced Vehicle Performance

Yogita Dubey, Roshan Umate, Khushal Damahe, Usha Ambule, Sanskruti Alone, Tanaya Deshpande
article en

Abstract

In traditional vehicle maintenance, there’s often no real-time data available, leaving drivers in the dark about important health and safety parameters. This gap can cause problems like low oil levels, poor oil quality, and overheating, which can put the vehicle and passengers at risk. This paper presents the intelligent engine health monitoring system for enhanced vehicle performance. The system uses ESP8266, ultrasonic sensor, light dependent resistor (LDR), and DS18B20 temperature sensors for continuous monitoring of the oil level, oil quality assessment, and engine temperature measurement in real-time. Oil quality assessment using RGB and white light transmission through a glass tube is proposed with improved accuracy in degradation detection. Blynk app interface in the proposed system produces the instant alert for exceeding threshold limit of sensor to ensures enhanced vehicle performance. Results demonstrate that blue light detects early-stage oil degradation, green light provides a balanced evaluation, and red light identifies severe degradation. A comparative analysis with optical color sensors and ultrasonic-based oil detection highlights the system's higher adaptability and real-time monitoring capabilities.

Journal of Machine EngineeringVol. 25(2)
Openalex Percentile: Top 90%
Advanced Measurement and Detection Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.