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Springer Solving Fault Diagnosis Problems: Linear Synthesis Techniques

Amazon

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Description

This comprehensive book from Springer addresses fault detection and isolation from a computational perspective, bridging the gap between established theoretical results and practical synthesis procedures. Designed for engineers and researchers working with linear models, it provides reliable computational methods for synthesising fault detection and isolation filters that go beyond traditional approaches. The model-based methodology covered has been refined through decades of research, making this volume essential for anyone seeking to move from theoretical understanding to implementable solutions in electrical engineering and control systems.

Key Features

Covers fault detection and isolation topics with focus on computational synthesis procedures rather than theory alone.

Presents model-based approaches to fault diagnosis using linear models and practical filtering techniques.

Part of Springer's Studies in Systems, Decision and Control series, volume 84, establishing academic credibility.

Bridges the gap between well-developed theoretical results and reliable computational methods for real-world applications.

Addresses electrical engineering and control systems applications where fault diagnosis is critical.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
08 May 2018
Listed Since
11 May 2018

Barcode

No barcode data available

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