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By: Ranu Singh and Reena Singh.
1- Student, Department of Electronics and Communication Engineering, Lakshmi Narain College of Technology, Bhopal, India
2- Student, Department of Electronics and Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, India
Self-healing hardware systems represent a transformative advancement in fault tolerance, enabling devices to autonomously detect, diagnose, and recover from malfunctions to ensure continuous and reliable operation. This paper explores the critical role of fault detection techniques in self-healing systems, focusing on methods such as built-in self-test (BIST), redundancy, and machine learning-based approaches. These techniques facilitate proactive and real-time fault resolution, addressing the limitations of traditional reactive strategies. The study highlights the challenges of achieving high detection accuracy, system scalability, and minimizing recovery time while examining advanced fault simulation methods like concurrent, differential, and statistical fault simulation. The increasing complexity of modern hardware systems, driven by the integration of powerful processors and intricate architectures, has made them more susceptible to failures caused by aging, environmental factors (e.g., temperature, radiation), and real-time task execution. Self-healing systems leverage fault tolerance, redundancy, and dynamic reconfiguration to autonomously recover from damage, preserving functionality and minimizing disruption. This paper provides a comprehensive overview of fault detection and repair methodologies, emphasizing their role in enhancing system robustness and long-term resilience. Key techniques such as real-time fault monitoring, hardware redundancy, and AI/ML-based fault prediction are discussed, alongside fault injection and self-repair mechanisms. The paper also addresses fault modeling, including single-fault and multiple-fault models, and their computational challenges. By integrating fault detection with self-repair strategies, self-healing systems offer a robust solution for maintaining reliability in critical applications such as aerospace, automotive, and healthcare. This work underscores the transformative potential of self-healing technologies, paving the way for resilient and adaptive hardware architectures capable of thriving in demanding operational environments.
Keywords: Self-healing hardware, fault tolerance, fault detection, built-in self-test (BIST), redundancy, machine learning, fault simulation, fault models, real-time monitoring, dynamic reconfiguration.
Citation:
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