£105.04

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£105 today · previous high £105 · all-time low £92

CRC Press Machine Learning & Knowledge Discovery for Engineering Systems

Amazon

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£105.04 £90.70 £93.83 £96.96 £100.08 £103.21 £106.34 28 July 2026 13 August 2026 30 August 2026 16 September 2026 03 October 2026
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Description

Machine Learning and Knowledge Discovery for Engineering Systems Health Management presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in engineered systems. This comprehensive volume brings together machine learning and systems health management for the first time, combining contributions from leading authorities in both fields. Divided into three parts, the book explains how fundamental algorithms and methods of physics-based and data-driven approaches effectively address systems health management challenges. It bridges theory and practical application, making it an essential resource for engineers, data scientists, and system designers working to improve reliability and performance of complex engineered systems through intelligent monitoring and predictive analytics.

Key Features

Part of Chapman and Hall/CRC Data Mining and Knowledge Discovery Series, providing authoritative coverage of machine learning applications in systems health management.

Combines physics-based and data-driven approaches to demonstrate how fundamental algorithms address real-world systems health management challenges.

Contributions from top authorities offer diverse perspectives on detecting, diagnosing, and predicting adverse events in engineered systems.

Structured in three parts to guide readers from foundational concepts through advanced techniques for engineering systems monitoring and prediction.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 November 2011
Listed Since
15 February 2010

Barcode

No barcode data available

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