A Major Project
VEHICLE FAULT DETECTION
SYSTEM
Meet Our Team
SUPERVISOR
N.HRUDAY B. TARUN KUMAR REDDY M.RANGA SWAMY
DR. G. SASIKALA
(VTU-11327) (VTU-14728) (VTU-14665)
OBJECTIVE
➢ To detect and diagnosis the
faults in mechanical and
electronics parts of the
vehicle.
➢ To develop an ideal user
friendly device of a DIY
automobile diagnosis.
ABSTRACT
➢ Vehicle fault detection has always been done by manual method.
➢ This process simply involves trial and error processes where a mechanical engineer or auto technician is
called in to diagnose automotive device (vehicle) to detect the faults.
➢ This method is inefficient, stressful, time consuming, and wearing and tearing of some mechanical parts.
These leads to high cost of maintenance.
➢ We proposed a automatic fault detection and diagnosis of a vehicle; a vehicle equipped with driver
assistance system.
➢ The system are outfitted with sensors for acquiring various information about the vehicle and its
surroundings.
INTRODUCTION
• Faults occur in vehicles or automobiles very often. This can be due to several reasons.
• Faults can range from simple to complex problems such as radiator leakage or overheating,
tire pressure problems, gearbox problem, electrical, clutch, turbo, brakes, alternator, cylinder
head gasket, air-conditioner condenser problems, etc.
• The ability to detect and isolate these faults in complex technical systems such automobile is
important in order to fulfill dependability requirements.
• Fault detection and isolation in automobiles is very important because it helps to maintain
high vehicle operational efficiency, low exhaust emissions, high vehicle uptime, fuel
consumption reduction or fuel economy, high vehicle safety and it guarantees efficient
repair.
• These factors are very important because they help to reduce overall life-cycle cost of a
vehicle.
LITERATURE SURVEY
SL.No Tittle of the paper Journal and Year Description
1 Hybrid Electric Vehicle Fault IJERT - 2021 This paper describes the fault diagnosis and detection
Diagnosis and Detection methodology for electric vehicle, and its fault severity
Technique criteria studied together. Detailed fault studied for
transmission, PMSM motor, driveline, and thermal
management system
2 Fault diagnosis of automobile IEEE - 2019 Fault diagnosis of automobile systems is critical, as it adds-
systems using fault tree based up to repair and maintenance time. It is, therefore, desired
on digraph modeling to make it efficient and effective. One of the conventional
approaches is to use the fault tree diagram.
3 Design and Implementation of AJER - 2020 fault diagnostic system is developed for automated vehicles
a Vehicle Fault Detection operating as a platoon on an automated highway system. The
System (FDS) with online and diagnostic system is designed to monitor the complete set of
SMS fault reporting sensors and actuators used by the lateral and longitudinal
controllers of the vehicle, including radar sensors, magnetometers
and inter-vehicle communication systems.
LITERATURE SURVEY
SL.No Tittle of the paper Journal and Year Description
4 ON BOARD DIAGNOSTIC IJERT - 2020 The vehicles in used today provide more and more
(OBD) SYSTEMS information for drivers. This information is not only
referring of comfort parameters - eg. inside temperature or
outside temperature - directly, but also the state of running
of the car. This study gives an overview of the evolution of
OBD systems, development and their operation
5 OBD I & II (On Board IJSRD - 2019 On-Board Diagnostics refers to a system for emission
Diagnostic) control which has the capability to detect a malfunction and
to store the related information in nonvolatile memory. The
OBD system monitors the emission relevant components or
systems, stores detected malfunctions indicating likely area
of malfunction and activates Malfunction Indicator Lamp
(MIL) if necessary
HARDWARE BLOCK DIAGRAM
METHODOLOGY PROPOSED FOR DIAGNOSTIC SYSTEM TO DETECT FAULTS IN A VEHICLE
LCD Display
Cable switch Temperature sensor
ARDUINO
Vibrator sensor Voltage sensor
NANO
Tyre Pressure sensor Motor driver
EXSISTING SYSTEM
PROPOSED SYSTEM
HARDWARE COMPONENTS
➢Arduino Nano
➢NodeMCU ESP-8266
➢L293d Motor Driver
➢Buzzer
➢DC Motor
➢12v Adapter
➢Vibration Sensor
➢DS18b20 Temperature Sensor
➢Voltage Sensor
➢16x2 LCD Display
➢I2C
SOFTWARE USED
Coding Software:
➢ Python is a high-level, general-purpose programming
language.
➢ Its design philosophy emphasizes code readability with
the use of significant indentation.
What is Firebase?
Firebase is aBackend-as-a-Service — Baas
Firebase frees developers to focus on crafting fantastic user experiences. You don’t need to
manage servers. You don’t need to write APIs. Firebase is your server, your API and your
datastore, all written so generically that you can modify it to suit most needs.
S o me firebasefeatures:
1. Realtime Database
2. File Storage
3. Authentication
4. Hosting
CONNECTING TO FIREBASE
Initializing Firebase and begin using the SDKs from the python app.
const firebaseConfig = {
apiKey: "AIzaSyD7qoXxCZm0yTM_t6P87RutRnW0vI3YV9c",
authDomain: "vehicle-fault.firebaseapp.com",
databaseURL: "https://vehicle-fault-default-rtdb.firebaseio.com",
projectId: "vehicle-fault",
storageBucket: "vehicle-fault.appspot.com",
messagingSenderId: "928727724749",
appId: "1:928727724749:web:de5c7073bc2ce45a532f84",
measurementId: "G-X5PG4DD5DB"
};
// Initialize Firebase
const app = initializeApp(firebaseConfig);
const analytics = getAnalytics(app);
PROJECT TIME LINE
DESIGN ANALYSIS OF
LITERATURE
RESULT
SURVEY
29 FEB, 2022 2 MAR , 2022 10 MAR, 2022 19 MAR, 2022 10 APR, 2022 30 APR, 2022
PROBLEM IMPLEMENTATION COMPLETION
IDENTIFICATION OF PROJECT
REFERENCES
[1] Professor CS Shankar Ram, IIT Madras, and his PhD student VS Kesavan who have explored various strategies to
study and incorporate the effect of different dynamic characteristics of ‘friction brake’ and ‘regenerative brake’.
[2] Ananchai Ukaew (November 5th 2019). Model Based System Design for Electric Vehicle Conversion, New Trends in
Electrical Vehicle Powertrains, Luis Romeral Martínez and Miguel Delgado Prieto, IntechOpen, DOI:
10.5772/intechopen.77265.
[3] 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) 1 978-1-
7281-4141- 1/$31.00 ©2020 IEEE Model Based Fault Classification Method For Electric Vehicle Pertained Lithium-Ion
Batteries Using Multi Layer Perceptron.
[4] Carl Svärd, "Methods for Automated Design of Fault Detection and Isolation Systems with Automotive Applications",
Final year project thesis, Department of Electrical Engineering Linköping, Linköping University, Institute of Technology,
Swdeden, 2018, pp.1.
[5]. Wei Huang and Xiaoxin Su, "Design of a Fault Detection and Isolation System for Intelligent Vehicle Navigation
System",nternational Journal of Navigation and Observation, Volume 2020. Retrieved online at
https://www.hindawi.com/journals/ijno/2015/279086/.
