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Springer Smart Monitoring of Rotating Machinery for Industry 4.0

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Description

This comprehensive guide explores intelligent monitoring methods for rotating machines in modern industrial environments. The book provides foundational knowledge in smart monitoring systems and guides readers through developing effective machine learning and statistical models to manage and analyse large volumes of operational data. It bridges theory and practice with real-world case studies that highlight practical challenges and deliver actionable solutions. The content covers current research trends and innovative strategies for addressing emerging issues in predictive maintenance and condition monitoring. Designed for both academic researchers and industry professionals, this volume delivers practical insights into implementing Industry 4.0 monitoring technologies that enhance equipment reliability and operational efficiency.

Key Features

Covers intelligent monitoring methods for rotating machinery with practical applications in Industry 4.0 environments.

Provides guidance on developing machine learning and statistical models for effective data analysis and management.

Includes real-world case studies demonstrating practical solutions to common monitoring challenges.

Explores current research trends and innovative strategies for predictive maintenance and equipment condition assessment.

Suitable for academics and professionals seeking to implement advanced monitoring systems in manufacturing operations.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 August 2022
Listed Since
25 July 2022

Barcode

No barcode data available

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