Abstract: The paper discusses using machine learning algorithms for predictive maintenance in passenger vehicles. It covers the background, problem statement, and objectives. It also explores the importance of engine telemetry data and the challenges of implementing machine learning. The paper explains data collection, preprocessing, and various machine learning models, including supervised and unsupervised algorithms. It concludes with future research possibilities and a summary of the key findings.
Keywords: Engine Telemetry, Industry 4.0, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Smart Manufacturing (SM)
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DOI:
10.17148/IJARCCE.2022.11926
