LEADER 04305nam 2200493 450 001 9910743383103321 005 20220716075338.0 010 $a981-16-5959-1 010 $a981-16-5958-3 010 $a981-16-5959-1 035 $a(CKB)5340000000068350 035 $a(MiAaPQ)EBC6792420 035 $a(Au-PeEL)EBL6792420 035 $a(OCoLC)1285782143 035 $a(PPN)258303352 035 $a(EXLCZ)995340000000068350 100 $a20220716d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in fault detection and diagnosis using filtering analysis /$fZiyun Wang, Yan Wang, Zhicheng Ji 210 1$aSingapore :$cSpringer,$d[2022] 210 4$d©2022 215 $a1 online resource (192 pages) 311 $a981-16-5958-3 327 $aIntro -- Preface I -- Preface II -- Advances in Fault Detection and Diagnosis Using Filtering Analysis -- Contents -- Symbol Description -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Fault Detection and Diagnosis Problem -- 1.2 Classification of Fault Detection and Diagnosis Methods -- 1.2.1 Analytical Model-Based Method -- 1.2.2 Knowledge-Based Method -- 1.2.3 Signal-Processing-Based Method -- 1.3 Fault Classification -- 1.4 An Overview of Fault Diagnosis Process -- 1.4.1 Fault Detection -- 1.4.2 Fault Isolation -- 1.4.3 Fault Identification -- 1.5 Summary of Filtering Methods -- 1.6 Motivation and Objective -- 1.7 Outlines -- References -- 2 Design of State Space Based Fault Diagnosis Filter -- 2.1 Preliminaries and Problem Formulation -- 2.2 Fault Diagnosis Based on Inverse Kalman Filter -- 2.3 Application Study -- 2.4 Concluding Remarks -- References -- 3 Design of Ellipsoid Set-Membership Based Fault Detection Filter -- 3.1 Preliminaries and Problem Formulation -- 3.2 Process of Ellipsoid Set-Membership Method -- 3.3 Finite Data Window Algorithm -- 3.4 Illustrative Simulations -- 3.5 Concluding Remarks -- References -- 4 Design of Polyhedron Set-Membership Based Fault Detection Filter -- 4.1 Preliminaries and Problem Formulation -- 4.2 Polyhedral Cone and the Vertices -- 4.3 Multi-objective Linear Programming -- 4.4 Illustrative Simulations -- 4.5 Application Study -- 4.6 Concluding Remarks -- References -- 5 Design of Interval Set-Membership Based Fault Detection Filter -- 5.1 Preliminaries and Problem Formulation -- 5.2 SIVIA Approach -- 5.2.1 Interval Analysis -- 5.2.2 Set Inversion -- 5.3 Vector Set Inversion Interval Filter -- 5.4 Illustrative Simulations -- 5.5 Application Study -- 5.6 Concluding Remarks -- References -- 6 Design of Orthotopic Set-Membership Based Fault Diagnosis Filter. 327 $a6.1 Preliminaries and Problem Formulation -- 6.2 Orthotope and Its Center -- 6.3 Linear Programming -- 6.4 Orthotopic Spatial Extension -- 6.5 Orthotopic-filtering-based Fault Diagnosis Algorithms -- 6.5.1 Fault Detection Criterion -- 6.5.2 Fault Isolation and Identification -- 6.6 Hierarchical Fault Diagnosis -- 6.6.1 Fault Detection -- 6.6.2 Fault Identification -- 6.7 Illustrative Simulations -- 6.8 Application Study -- 6.9 Concluding Remarks -- References -- 7 Fault Diagnosis Method Based on Composite Set-Membership Filter -- 7.1 Preliminaries and Problem Formulation -- 7.2 Directional Expansion Based Fault Diagnosis Algorithm ? -- 7.2.1 Fault Detection -- 7.2.2 Fault Isolation -- 7.2.3 Fault Identification -- 7.3 Orthotopic Double Filtering Based State Estimation Algorithm -- 7.3.1 Prediction Step -- 7.3.2 Update Step -- 7.4 Illustrative Simulation -- 7.5 Application Study -- 7.5.1 Application Case 1 -- 7.5.2 Application Case 2 -- 7.5.3 Application Case 3 -- 7.5.4 Application Case 4 -- 7.6 Concluding Remarks -- References -- 8 Summary. 606 $aFault location (Engineering) 606 $aKalman filtering 615 0$aFault location (Engineering) 615 0$aKalman filtering. 676 $a620.0044 700 $aWang$b Ziyun$01426912 702 $aWang$b Yan 702 $aJi$b Zhicheng 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743383103321 996 $aAdvances in fault detection and diagnosis using filtering analysis$93559368 997 $aUNINA