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Springer Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems

Amazon

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Description

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems by Springer presents essential statistical process monitoring, fault diagnosis, and control methods for dynamic industrial processes. This comprehensive guide introduces advanced data-driven schemes tailored to modern manufacturing and automation environments where reliability, availability, and safety are paramount. The book equips engineers and control systems professionals with practical techniques to implement fault diagnosis and fault-tolerant control strategies that reduce downtime, improve asset performance, and enhance system resilience. Part of the Advances in Industrial Control series, this reference combines theoretical foundations with real-world applications, making it invaluable for anyone designing robust automatic control systems in demanding industrial settings.

Key Features

Springer's comprehensive guide covers statistical process monitoring and fault diagnosis methods essential for industrial control system design.

Advanced data-driven schemes address reliability and safety requirements in modern dynamic industrial processes and technical assets.

Part of the Advances in Industrial Control series, providing peer-reviewed technical content for control system professionals.

Practical fault-tolerant control strategies help engineers minimise downtime and improve asset availability in automated manufacturing environments.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 September 2016
Listed Since
25 August 2016

Barcode

No barcode data available

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