September 12, 2025Open Access

Role of Machine Learning in Predictive Maintenance of Industrial Machinery

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Implementing predictive maintenance improves operational efficiency and reduces machinery downtime, enhancing overall productivity.
Recent studies showcase various machine learning algorithms in predictive maintenance applications, such as anomaly detection and failure prediction.
The integration of high-quality data acquisition and preprocessing is critical for effective machine learning model performance.
Future research directions suggest further advancements in algorithms and deployment strategies to improve predictive maintenance capabilities.

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This review highlights how machine learning enhances predictive maintenance, ensuring machinery reliability and suggesting future trends.

Arimondo Scrivano (2025) studied this question.

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