AI-Driven Predictive Maintenance Using IoT in Automotive Manufacturing

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Review article examines AI-driven predictive maintenance methods in automotive production, highlighting challenges and future directions.

AI-based predictive maintenance enhances efficiency in automotive manufacturing, promoting sustainability and reducing downtime.
Real-time data collection through IoT sensors is crucial for predicting equipment failures and optimizing operations.
The article reviews existing frameworks and identifies limitations, including data quality and explainability challenges.
Future prospects such as digital twins and federated learning are explored for enhancing predictive maintenance strategies.

N. Rama Rao (2025) studied this question.

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