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Springer Solving Fault Diagnosis Problems: Linear Synthesis

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Description

Solving Fault Diagnosis Problems: Linear Synthesis Techniques provides a deep dive into fault detection and isolation from a computational perspective. As part of the Studies in Systems, Decision and Control series (volume 84), this work bridges the gap between theoretical results and the practical application of reliable computational synthesis procedures. While many resources focus on the theoretical aspects of fault diagnosis using linear models, this book moves beyond pure theory. It addresses the need for effective computational methods that can be used to synthesize fault detection and isolation systems. This makes it a valuable resource for those looking to understand the transition from well-developed mathematical models to real-world computational implementation. Designed for readers in the fields of engineering and technology, this text offers a clear path toward mastering model-based approaches to fault diagnosis. It is an essential addition to any technical library focused on systems, decision-making, and control processes.

Key Features

Bridges the gap between theoretical results and practical, reliable computational synthesis procedures.

Focuses on fault detection and isolation topics through a specialized computational perspective.

Provides advanced insights into the model-based approach to fault diagnosis.

Part of the respected Studies in Systems, Decision and Control series by Springer.

Addresses the specific needs of linear model-based fault diagnosis research.

Product Specifications

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

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