报告详情
AI-Enabled Self-Healing Integrated Circuits for Autonomous Electronics
编号：64
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更新：2026-10-04 23:30:15 浏览：9次
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摘要
The growing deployment of autonomous electronics in autonomous vehicles, industrial automation, aerospace systems, Internet of Things (IoT) devices, and edge artificial intelligence (AI) platforms has intensified the demand for highly reliable and resilient integrated circuits. However, advanced semiconductor devices remain vulnerable to aging effects, thermal stress, process variations, soft errors, and transient faults that can compromise system performance and operational continuity. This paper proposes an AI-enabled self-healing integrated circuit architecture that integrates embedded health monitoring sensors, machine learning-based fault diagnosis, predictive reliability assessment, and adaptive hardware reconfiguration. The proposed framework continuously monitors circuit health, predicts impending failures, and autonomously executes recovery actions to maintain functionality and performance. Experimental evaluation demonstrates fault diagnosis accuracy exceeding 98%, a recovery success rate of 96.5%, and significant improvements in system availability and Mean Time Between Failures (MTBF). The proposed architecture provides an effective foundation for developing next-generation autonomous electronics with enhanced reliability, sustainability, and operational resilience.
关键词
Self-Healing Integrated Circuits,Artificial Intelligence,Autonomous Electronics,Predictive Maintenance,Process Innovation
报告人
Wai Yie Leong
researcher INTI International University稿件作者
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重要日期
-
会议日期
10月11日
2026
至10月14日
2026
-
12月30日 2025
报告提交截止日期
-
09月28日 2026
提前注册日期
-
10月10日 2026
初稿截稿日期
-
10月14日 2026
注册截止日期
主办单位
United Societies of Science
承办单位
Posts and Telecommunications Institute of Technology
协办单位
IEEE Section
IEEE Vietnam Section
IEEE Vietnam Section
联系方式
- ASIANComNet 2026
- as******@usssociety.org
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