£121.51

Springer Data-Driven Fault Diagnosis for Industrial Processes

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Description

Enhance your technical knowledge with this specialized volume from Springer. Part of the Engineering Applications of Computational Methods series, this book focuses on data-driven fault diagnosis for complex industrial processes. It provides essential information regarding fault prediction, detection, and identification techniques. This text serves as a valuable resource for professionals and students working within technical fields. By exploring computational methods applied to industrial settings, readers can gain a deeper understanding of how to manage and monitor complex systems effectively. The content is designed to support advanced study and practical application in engineering environments.

Key Features

Part of the Engineering Applications of Computational Methods series (Volume 22) for specialized technical learning.

Focuses on the full lifecycle of fault management, including prediction, detection, and identification.

Provides technical insights specifically tailored for complex industrial process environments.

Published by Springer, a recognized name in professional and academic engineering literature.

Offers a data-driven approach to solving modern industrial diagnostic challenges.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
16 April 2025
Listed Since
31 December 2024

Barcode

No barcode data available

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