£121.79

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£122 today · previous high £122 · all-time low £116

Springer Data-Driven Fault Diagnosis for Industrial Processes

Amazon

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Description

Explore advanced methodologies in the Springer publication, Data-Driven Fault Diagnosis for Complex Industrial Processes. This technical volume, part of the Engineering Applications of Computational Methods series, focuses on fault prediction, detection, and identification within complex industrial environments. It serves as a specialized reference for professionals and researchers working with computational methods to improve process reliability and operational efficiency.

Key Features

Published by Springer as part of the Engineering Applications of Computational Methods series, volume 22.

Focuses on data-driven fault diagnosis techniques for complex industrial processes.

Covers essential topics including fault prediction, detection, and identification.

Provides technical reference material for engineering and computational applications.

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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