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|a 9789811517464
|q (electronic bk.)
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|a 9811517460
|q (electronic bk.)
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|z 9789811517457
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|a (OCoLC)spr1142518240
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|a (OCoLC)1142518240
|z (OCoLC)1145410740
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|a spr978-981-15-1746-4
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|a EBLCP
|b eng
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|a QA76.9.F38
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|a Diagnosis, fault detection and tolerant control
|h [electronic resource] /
|c Nabil Derbel, Jawhar Ghommam, Quanmin Zhu, editors.
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|a Singapore :
|b Springer,
|c 2020.
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|a 1 online resource (331 pages)
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|a text
|b txt
|2 rdacontent.
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|a computer
|b c
|2 rdamedia.
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|a online resource
|b cr
|2 rdacarrier.
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|a Studies in Systems, Decision and Control ;
|v v.269.
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|a Description based upon print version of record.
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|a Intro -- Preface -- Contents -- 1 A Nondestructive Technique to Identify and Localize Microscopic Defects on a Microstrip Line -- 1.1 Introduction -- 1.2 The Transmission Lines -- 1.2.1 Definition -- 1.2.2 Types of Transmission Lines -- 1.3 Microstrip Line Model -- 1.3.1 Modelling of a Microstrip Line -- 1.3.2 Particular Case: Lossless Line -- 1.3.3 The Impedance and the Reflection Coefficient -- 1.4 The S Parameters -- 1.4.1 Definition -- 1.4.2 The S Matrix -- 1.4.3 The S Matrix for a Two-Port Network -- 1.4.4 The S Matrix Properties -- 1.5 The Used Model of the Microstrip Line.
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|a 1.6 Defects Description -- 1.6.1 The Narrow Transverse Slit -- 1.6.2 The Overflow -- 1.7 The Solution Description -- 1.8 The Simulation Results with CST Software -- 1.8.1 The Simulation of Undamaged Microstrip Line -- 1.8.2 The Simulation of a Microstrip Line with an Overflow -- 1.8.3 The Simulation of a Microstrip Line with a Narrow Transverse Slit -- 1.9 The Experimental Results -- 1.9.1 The Experimental Prototype -- 1.9.2 Analysis of Experimental Results -- 1.10 Conclusion -- References -- 2 Sensor Fault Detection and Isolation Based on Variable Moving Window KPCA -- 2.1 Introduction.
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|a 2.2 Kernel Principal Component Analysis -- 2.2.1 Identification of the KPCA Model -- 2.2.2 Scaling -- 2.2.3 Fault Detection Indices -- 2.3 Online KPCA Methods for Fault Detection -- 2.3.1 Moving Window Kernel PCA (MWKPCA) -- 2.3.2 Variable Moving Window Kernel PCA (VMWKPCA) -- 2.4 Fault Isolation -- 2.5 Application to an Air Quality Monitoring Network -- 2.6 Conclusion -- References -- 3 Sensor Fault Detection and Estimation Based on UIO for LPV Time Delay Systems Using Descriptor Approach -- 3.1 Introduction -- 3.2 System Description -- 3.3 UIO Design.
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|a 3.4 Method of Calculating the Observer Gains -- 3.5 Simulation Studies -- 3.6 Conclusion -- References -- 4 Fault Diagnosis of Linear Switched Systems Based on Hybrid Observer -- 4.1 Introduction -- 4.2 Motivation, Related Work, and Objectives -- 4.3 Hybrid Dynamical Systems -- 4.3.1 Presentation of Hybrid Dynamical System -- 4.3.2 Different Classes of Hybrid Systems -- 4.4 System Diagnosis -- 4.4.1 Definition -- 4.4.2 Different Stages of the Diagnosis of a System -- 4.4.3 Diagnosis Methods -- 4.5 Proposed Diagnosis Approach -- 4.5.1 Switched Linear System Model.
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|a 4.5.2 Fault Detection Based on a Hybrid Observer -- 4.6 Case Study -- 4.6.1 Studied System -- 4.6.2 Implementation of the Hybrid Observer -- 4.6.3 Simulation Results -- 4.7 Conclusion -- References -- 5 Neutral Time-Delay System: Diagnosis and Prognosis Using UIO Observer -- 5.1 Introduction -- 5.2 Diagnosis of a Linear Neutral Delay System -- 5.3 Prognosis for a Class of Neutral Time-Delay System -- 5.3.1 Model Class for Prognosis -- 5.3.2 System Description and Problem Formulation -- 5.4 Transmission Line Diagnosis and Prognosis -- 5.4.1 Diagnostic Study -- 5.4.2 Prognosis Study.
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|a 5.5 Discussion.
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|a Fault-tolerant computing.
|0 http://id.loc.gov/authorities/subjects/sh85047488.
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1 |
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|a Derbel, Nabil.
|0 http://id.loc.gov/authorities/names/no2017064921.
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|a Ghommam, Jawhar.
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|a Zhu, Quanmin.
|0 http://id.loc.gov/authorities/names/nb2014002446.
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776 |
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|i Print version:
|a Derbel, Nabil
|t Diagnosis, Fault Detection and Tolerant Control
|d Singapore : Springer,c2020
|z 9789811517457.
|
830 |
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0 |
|a Studies in systems, decision and control ;
|v v. 269.
|0 http://id.loc.gov/authorities/names/no2014053363.
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856 |
4 |
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|u https://colorado.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-1746-4
|z Full Text (via Springer)
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907 |
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|a .b109379755
|b 05-05-20
|c 04-06-20
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|a MARS - RDA ENRICHED
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|a I
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|a Springer e-books
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|b Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2020 English International
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|a University of Colorado Boulder
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|e QA76.9.F38
|h Library of Congress classification
|i Ebooks, Prospector
|n 1
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