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Heavy motors: improving operational reliability through data and analytics

In heavy asset industries like basic chemicals and large-scale manufacturing, motors are the heartbeat of critical operations. This video explores how real-time access to motor telemetry, including current, vibration, and rotational data, can prevent costly downtime and improve operational efficiency.

Learn how to collect, store, and visualize key motor data to detect early signs of failure—such as bearing issues or abnormal rotation patterns. See how graphical analysis of motor variables helps pinpoint the root cause of problems before they escalate.

Discover how this data can be shared with remote teams for real-time monitoring, or used to train machine learning and AI models and generate analytics that predict the optimal time for maintenance procedures—reducing unplanned outages and extending equipment life.

Key Topics Covered:
• Importance of motor data in heavy industries
• Real-time telemetry: current, vibration, and more
• Visualizing motor performance to detect issues
• Remote monitoring and predictive maintenance
• Using machine learning for maintenance scheduling

Whether you're an engineer, plant manager, or data scientist, this video shows how smart data from motors can transform decision-making in industrial environments.

To learn more, click here https://www.youtube.com/watch?v=uXexA1vt8KM

#MotorMonitoring #PredictiveMaintenance #Telemetry #HeavyIndustry #MachineLearning #VibrationAnalysis #RealTimeData #DataSharing #AVEVA

Видео Heavy motors: improving operational reliability through data and analytics канала AVEVA Group
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