Fault Recognition in a Four Stroke Internal Combustion (IC) Engine. An Artificial Neural Network (ANN) Based Approach

Inhaltsverzeichnis (Table of Contents)

• Abstract
• 1. Significance of Fault Recognition System
  • 1.1 Introduction
  • 1.2 India's Vehicle Growth
  • 1.3 The Significance of Vehicle Maintenance
• 2. Literature Survey & Objective of Research Problem
  • 2.1 Details of Literature Review
  • 2.2 Observations from Related Research Work
  • 2.3 Broad Objectives of the Proposed Systems
• 3. Data Acquisition
  • 3.1 Experimental Setup
  • 3.2 Collection of knowledge base
  • 3.3 Mathematical Representation Parameters
• 4. Engine Faults and ANN Classifiers
  • 4.0 Engine Faults Under Consideration
  • 4.1 Spark Plug Fault
  • 4.2 Piston Fault
  • 4.3 Air Filter Fault
  • 4.4 Working of Four Stroke Engine
  • 4.5 Two-stroke and Four-stroke engines Comparison
  • 4.6 Need of MATLAB and Simulink
  • 4.7 Artificial Neural Network
  • 4.8 Brief Introduction of ANN Based Classifiers

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This book focuses on the development and application of an Artificial Neural Network (ANN) based approach for fault recognition in four-stroke internal combustion engines. The aim is to provide a comprehensive overview of the technology, methodologies, and applications of this approach for detecting and diagnosing engine faults. The book provides practical guidance for researchers, engineers, and students working in the field of automotive diagnostics and machine learning.

• Fault detection and diagnosis in internal combustion engines
• Artificial neural networks (ANN) and their application in engine diagnostics
• Data acquisition and feature extraction techniques for engine fault detection
• Design and implementation of ANN-based classifiers for fault recognition
• Application of MATLAB and Simulink for engine fault analysis and simulation

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter 1 provides an introduction to the significance of fault recognition systems in the context of vehicle growth and maintenance. Chapter 2 reviews existing literature on fault detection systems, focusing on research specific to preventing vehicle damage. Chapter 3 describes the data acquisition system, including signal capturing, decomposition, and feature extraction. Chapter 4 details the specific engine faults considered for fault recognition, including spark plug, piston, and air filter faults, as well as the working principles of four-stroke engines. The chapter also introduces artificial neural networks and relevant classifiers.

Schlüsselwörter (Keywords)

The primary focus of this book is fault recognition in four-stroke IC engines using ANN-based approaches. Key themes and concepts include data acquisition, signal processing, feature extraction, ANN classifiers, MATLAB, Simulink, and fault diagnosis. The book explores practical applications of these concepts within the context of automotive diagnostics.