AI applications in predictive maintenance transform industries by predicting equipment failures and optimizing maintenance schedules. Leveraging machine learning algorithms and big data analytics, AI detects patterns and anomalies in sensor data, enabling early identification of potential issues. Key applications include real-time monitoring of machinery, predictive analytics for failure prediction, and automated maintenance scheduling. Industries such as manufacturing, energy, aviation, and transportation benefit from reduced downtime, lower maintenance costs, and extended equipment life. Implementing AI in predictive maintenance enhances operational efficiency, reliability, and safety, making it a critical tool for modern industrial management.

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