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

Year: 2025

Type: article

Abstract: 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.

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2025.73210

Author: Akshay Hiremath

Institution: University of Mumbai

Language: English

Topic: Reliability and Maintenance Optimization

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4412959139

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