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Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

The rapid development of control technology has an impact onall areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control

Bibliographic Details
Main Authors:	Simani, Silvio, Fantuzzi, Cesare (Author), Patton, Ron J. (Author)
Format:	eBook
Language:	English
Published:	London Springer London 2003, 2003
Edition:	1st ed. 2003
Series:	Advances in Industrial Control
Subjects:	Mechanics, Applied Security Science And Technology Electronics And Microelectronics, Instrumentation Control And Systems Theory Security Systems Multibody Systems And Mechanical Vibrations Vibration Control Engineering Electronics Mechanical Engineering Multibody Systems
Online Access:	https://doi.org/10.1007/978-1-4471-3829-7?nosfx=y
Collection:	Springer Book Archives -2004 - Collection details see MPG.ReNa

Table of Contents:

1. Introduction
2. Model-based Fault Diagnosis Techniques
3. System Identification for Fault Diagnosis
4. Residual Generation, Fault Diagnosis and Identification
5. Fault Diagnosis Application Studies
6. Concluding Remarks
References

Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

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