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Introduction

With the increasing complexity and interconnectedness of power systems, the need for efficient fault detection and diagnosis has become paramount. Traditional wired communication systems for fault detection in power systems have limitations such as high installation costs, susceptibility to physical damage, and limited range. Wireless communication technologies offer a promising alternative for fault detection in power systems, offering advantages such as lower installation costs, increased flexibility, and improved reliability.

This thesis focuses on the use of wireless communication for fault detection in power systems. The research aims to investigate the feasibility and effectiveness of using wireless communication technologies for detecting faults in power systems and propose a novel approach for fault detection using wireless communication.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of the study
1.3 Problem statement
1.4 Objective of the study
1.5 Limitation of the study
1.6 Scope of the study
1.7 Significance of the study
1.8 Structure of the thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Overview of power system fault detection
2.2 Traditional wired communication systems for fault detection
2.3 Wireless communication technologies for fault detection
2.4 Wireless sensor networks for fault detection
2.5 Machine learning techniques for fault detection
2.6 Integration of wireless communication and machine learning for fault detection
2.7 Challenges and limitations of using wireless communication for fault detection
2.8 Case studies of wireless communication for fault detection in power systems
2.9 Recent advancements in wireless communication for fault detection
2.10 Gaps in existing literature on wireless communication for fault detection

Chapter 3: System Design and Methodology
3.1 System architecture
3.2 Selection of wireless communication technology
3.3 Selection of fault detection algorithms
3.4 Data acquisition and processing
3.5 System integration and testing
3.6 Performance evaluation metrics
3.7 Simulation environment
3.8 Data collection and analysis

Chapter 4: System Implementation
4.1 Hardware setup
4.2 Software development
4.3 System calibration and testing
4.4 Data collection and analysis
4.5 System optimization
4.6 Performance evaluation
4.7 Comparison with existing systems
4.8 System reliability and robustness

Chapter 5: Conclusion and Summary
5.1 Summary of findings
5.2 Achievements and contributions
5.3 Implications for future research
5.4 Practical applications and recommendations
5.5 Conclusion

Thesis Overview:

Wireless communication technology has the potential to revolutionize fault detection in power systems by providing a cost-effective, flexible, and reliable solution. This thesis aims to investigate the feasibility and effectiveness of using wireless communication for fault detection in power systems. A comprehensive review of existing literature on power system fault detection, wireless communication technologies, and machine learning techniques will be conducted to identify gaps and opportunities for research.

The research will involve designing and implementing a system architecture that integrates wireless communication technology, fault detection algorithms, and data processing techniques. The system will be tested in a simulation environment and real-world scenarios to evaluate its performance and reliability. The findings of this research will contribute to the advancement of fault detection systems in power systems and provide valuable insights for future research in this field.

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