£142.76

Springer Data-driven Design of Fault Diagnosis and Control Systems

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Description

Improve the reliability and safety of technical processes with this expert text from Springer. As industrial demands for availability and asset safety increase, mastering process monitoring and fault-tolerance becomes essential for modern automatic control systems. This book provides a comprehensive look at basic statistical process monitoring, fault diagnosis, and control methods. It moves beyond the basics to introduce advanced data-driven schemes specifically designed for the needs of dynamic industrial processes. Readers will learn how to implement effective fault diagnosis and fault-tolerant control systems to maintain operational stability. Whether you are working with complex technical assets or designing new automatic control systems, this resource offers the necessary methodologies to handle faults effectively. It serves as a vital guide for professionals and students seeking to apply data-driven approaches to modern industrial control challenges.

Key Features

Covers fundamental statistical process monitoring and fault diagnosis methods for industrial applications.

Introduces advanced data-driven schemes designed to meet the requirements of dynamic industrial processes.

Provides essential knowledge for designing fault-tolerant control systems to improve asset reliability.

Addresses increasing industry demands for higher safety and availability in technical processes.

Offers practical insights into the design of modern automatic control systems through data-driven methods.

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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