AI for Predictive Maintenance in Industry 4.0: Extended PdM Methodologies: From Vibration & Thermal to Motor Current, Wear Debris, Pressure, and ... Monitoring & Predictive Maintenance Series)
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AI for Predictive Maintenance in Industry 4.0: Extended PdM Methodologies: From Vibration & Thermal to Motor Current, Wear Debris, Pressure, and ... Monitoring & Predictive Maintenance Series)

by Mohammed Hamed Ahmed Soliman

Business Engineering Technology
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A focused guide to extended predictive maintenance methodologies for Industry 4.0. The book surveys monitoring approaches involving vibration, thermal conditions, motor current, wear debris, and pressure, offering a broad perspective on condition-based maintenance and industrial equipment monitoring.

About This Book

This book focuses on predictive maintenance within the context of Industry 4.0.

It presents extended PdM methodologies for monitoring industrial equipment and supporting maintenance planning.

The coverage includes vibration and thermal monitoring, along with motor current, wear debris, and pressure monitoring.

It is intended for readers interested in industrial condition monitoring and predictive maintenance practices.

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I will be using this book for: