Evaluating IIoT-Based Predictive Maintenance Techniques for Modern Automobiles: A Comparative Survey

This survey paper provides a comprehensive review of predictive maintenance methodologies employed in the automotive industry. It explores the role of IIoT in data collection, transmission, and analysis, compares various predictive main- tenance techniques, and discusses their benefits, limitations, and future trends. The paper also presents a comparative study of different methodologies, includ- ing machine learning models, digital twins, stochastic methods, and fuzzy logic systems, to evaluate their effectiveness in real-world automotive applications.