This paper presents an AI-based predictive machine breakdown alert system designed to identify potential machine failures before they occur. The system analyses machine-related data to detect abnormal patterns and predict possible breakdown risks. It aims to support early maintenance planning, reduce unexpected downtime, improve operational efficiency, and minimise maintenance costs. The proposed software-based approach demonstrates how machine learning can assist in predictive maintenance and help improve equipment reliability.--
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A et al. (2026) studied this question.
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