Abstract: Given the complexity of automotive control systems, vehicles must exhibit high reliability in harsh environments. AI techniques for predictive failure analysis in vehicle safety have gained momentum. This document explores the concept of predictive failure analysis using AI about vehicle technology and safety. It focuses on early predicting failures in automotive microelectronic systems like electronic control units. The document introduces AI in vehicle technology and explores AI algorithms in autonomous driving. It discusses the impacts of predictive failure analysis and the movement toward autonomous systems. The document concludes with a summary of its contributions to predictive failure analysis. It serves as a channel to relate AI to reliable systems in automotive technology. It provides knowledge for researchers seeking newer methodologies for system automation and autonomy in vehicle designs. The document also provides an overview of AI technologies in autonomous driving and connected vehicles. It includes valuable comments, case studies, and an overview of AI applications in the automotive industry.

Keywords: Predictive Failure, Industry 4.0, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Smart Manufacturing (SM)

| DOI: 10.17148/IJIREEICE.2021.9811