£124.99

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Springer Fault Diagnosis Linear Systems - Julia Code Solutions

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Description

This comprehensive guide addresses fault detection and isolation for linear time-invariant systems from a computational perspective. The second edition provides a completely general theoretical treatment of fault and model detection problems alongside the best suited numerical approaches to solve specific computational challenges. Designed for engineers and researchers, this book covers fault diagnosis methodology with practical Julia code examples throughout, offering supporting software solutions for analysis and filter synthesis problems. Whether you are working on system reliability, industrial diagnostics, or advanced control applications, this text bridges theory and implementation with detailed algorithms and real-world computational techniques.

Key Features

Provides a complete theoretical framework for fault detection and isolation in linear time-invariant systems with Julia implementation examples.

Presents numerical approaches optimised for computational fault diagnosis problems and model detection across engineering applications.

Includes supporting software code for solving analysis and filter synthesis tasks efficiently in Julia.

Part of the Studies in Systems, Decision and Control series volume 482, offering peer-reviewed academic rigor.

Updated second edition with refined theoretical presentation and enhanced computational methods for modern fault diagnosis.

Combines theoretical treatment with practical coding examples for implementation in industrial and research settings.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 February 2025
Listed Since
26 January 2025

Barcode

No barcode data available

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