Diagnosis, fault detection and tolerant control. (2020)

• Record Type: Book
• Further Information: Note: Nabil Derbel, Jawhar Ghommam, Quanmin Zhu, editors.
• Other Names: Derbel, Nabil; Ghommam, Jawhar; Zhu, Quanmin
• Contents: 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 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 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 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 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
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource (331 pages)
• Subjects: 004.2; Fault-tolerant computing; Fault-tolerant computing; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811517464; 9811517460
• Related ISBNs: 9789811517457; 9811517452
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.