Model based fault diagnosis in dynamic systems using identification techniques:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
Springer
2003
|
| Schriftenreihe: | Advances in industrial control
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. 261 - 277 |
| Beschreibung: | XIV, 282 S. graph. Darst. : 24 cm |
| ISBN: | 1852336854 |
Internformat
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| 245 | 1 | 0 | |a Model based fault diagnosis in dynamic systems using identification techniques |c Silvio Simani, Cesare Fantuzzi and Ron J. Patton |
| 246 | 1 | 3 | |a Model-based fault diagnosis in dynamic systems using identification techniques |
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Datensatz im Suchindex
| _version_ | 1804129584333979648 |
|---|---|
| adam_text | SILVIO S I / AND RON J. PATTON MODEL-BASED FAULT DIAGNOSIS IN DYNAMIC
SYSTEMS USING IDENTIFICATION TECHNIQUES SPRINGER CONTENTS SYMBOLS AND
ABBREVIATIONS XV 1. INTRODUCTION 1 1.1 NOMENCLATURE , 3 1.2 FAULT
DETECTION AND IDENTIFICATION METHODS BASED ON ANALYT- ICAL REDUNDANCY 5
1.3 MODEL-BASED FAULT DETECTION METHODS 7 1.4 MODEL UNCERTAINTY AND
FAULT DETECTION 8 1.5 THE ROBUSTNESS PROBLEM IN FAULT DETECTION 9 1.6
SYSTEM IDENTIFICATION FOR ROBUST FDI 11 1.7 FAULT IDENTIFICATION METHODS
12 1.8 REPORT ON FDI APPLICATIONS 13 1.9 OUTLINE OF THE BOOK 16 1.10
SUMMARY 18 2. MODEL-BASED FAULT DIAGNOSIS TECHNIQUES 19 2.1 INTRODUCTION
19 2.2 MODEL-BASED FDI TECHNIQUES 20 2.3 MODELLING OF FAULTY SYSTEMS 21
2.4 RESIDUAL GENERATOR GENERAL STRUCTURE 28 2.5 RESIDUAL GENERATION
TECHNIQUES 31 2.5.1 RESIDUAL GENERATION VIA PARAMETER ESTIMATION 32
2.5.2 OBSERVER-BASED APPROACHES 35 2.5.3 FAULT DETECTION WITH PARITY
EQUATIONS 40 2.6 CHANGE DETECTION AND SYMPTOM EVALUATION 44 2.7 THE
RESIDUAL GENERATION PROBLEM 45 2.8 FAULT DIAGNOSIS TECHNIQUE INTEGRATION
51 2.8.1 FUZZY LOGIC FOR RESIDUAL GENERATION 51 2.8.2 NEURAL NETWORKS IN
FAULT DIAGNOSIS 53 2.8.3 NEURO-FUZZY APPROACHES TO FDI 54 2.8.4
STRUCTURE IDENTIFICATION OF NF MODELS 56 2.8.5 NF RESIDUAL GENERATION
SCHEME FOR FDI 57 2.9 SUMMARY 59 XII TABLE OF CONTENTS 3. SYSTEM
IDENTIFICATION FOR FAULT DIAGNOSIS 61 3.1 INTRODUCTION 61 3.2 MODELS FOR
LINEAR SYSTEMS 62 3.3 PARAMETER ESTIMATION METHODS 64 3.3.1 SYSTEM
IDENTIFICATION IN NOISELESS ENVIRONMENT 65 3.3.2 SYSTEM IDENTIFICATION
IN NOISY ENVIRONMENT 68 3.3.3 THE FRISCH SCHEME IN THE MIMO CASE 73 3.4
MODELS FOR NON-LINEAR DYNAMIC SYSTEMS 75 3.4.1 PIECEWISE AFFINE MODEL 75
3.4.2 MODEL CONTINUITY AND DOMAIN PARTITIONING 79 3.4.3 LOCAL AFFINE
MODEL IDENTIFICATION 82 3.4.4 MULTIPLE-MODEL IDENTIFICATION 85 3.5 FUZZY
MODELLING AND IDENTIFICATION 89 3.5.1 FUZZY MULTIPLE INFERENCE
IDENTIFICATION 90 3.5.2 TAKAGI-SUGENO MULTIPLE-MODEL PARADIGM 92 3.5.3
FUZZY CLUSTERING FOR FUZZY IDENTIFICATION 95 3.5.4 PRODUCT SPACE
CLUSTERING AND FUZZY MODEL IDENTIFICA- TION 100 3.5.5 NON-LINEAR
REGRESSION PROBLEM AND BLACK-BOX MODELS 103 3.5.6 FUZZY MODEL
IDENTIFICATION FROM CLUSTERS 107 3.6 CONCLUSION 112 4. RESIDUAL
GENERATION, FAULT DIAGNOSIS AND IDENTIFICATION .. 115 4.1 INTRODUCTION
115 4.2 OUTPUT OBSERVERS FOR ROBUST RESIDUAL GENERATION 116 4.3 UNKNOWN
INPUT OBSERVER 119 4.3.1 UIO MATHEMATICAL DESCRIPTION 120 4.3.2 UIO
DESIGN PROCEDURE 122 4.4 FDI SCHEMES BASED ON UIO AND OUTPUT OBSERVERS
122 4.5 SLIDING MODE OBSERVERS FOR FDI 127 4.5.1 SLIDING MODE OBSERVERS
128 4.6 KALMAN FILTERING AND FDI FROM NOISY MEASUREMENTS 130 4.7
RESIDUAL ROBUSTNESS TO DISTURBANCES 131 4.7.1 DISTURBANCE DISTRIBUTION
MATRIX ESTIMATION 132 4.7.2 ADDITIVE NON-LINEAR DISTURBANCE AND NOISE
133 4.7.3 MODEL COMPLEXITY REDUCTION . 133 4.7.4 PARAMETER UNCERTAINTY
134 4.7.5 DISTRIBUTION MATRIX LOW RANK APPROXIMATION 135 4.7.6 MODEL
ESTIMATION WITH BOUNDED UNCERTAINTY 135 4.7.7 DISTURBANCE VECTOR AND
DISTURBANCE MATRIX ESTIMATION 136 4.7.8 DISTRIBUTION MATRIX OPTIMISATION
139 4.7.9 DISTURBANCE DISTRIBUTION MATRIX IDENTIFICATION 139 4.8
RESIDUAL GENERATION VIA PARAMETER ESTIMATION 141 4.9 RESIDUAL GENERATION
VIA FUZZY MODELS 142 4.10 FDI USING NEURAL NETWORKS 143 TABLE OF
CONTENTS XIII 4.10.1 NEURAL NETWORK BASICS 145 4.11 FAULT DIAGNOSIS OF
AN INDUSTRIAL PLANT AT DIFFERENT OPERATING POINTS USING NEURAL NETWORKS
147 4.11.1 OPERATING POINT DETECTION AND FAULT DIAGNOSIS 147 4.11.2 FDI
METHOD DEVELOPMENT 149 4.12 NEURO-FUZZY IN FDI 150 4.12.1 METHODS OF
NEURO-FUZZY INTEGRATION 151 4.12.2 NEURO-FUZZY NETWORKS ., 152 4.12.3
RESIDUAL GENERATION USING NEURO-FUZZY MODELS 154 4.12.4
NEURO-FUZZY-BASED RESIDUAL EVALUATION 155 4.13 SUMMARY 156 5. FAULT
DIAGNOSIS APPLICATION STUDIES 15 7 5.1 INTRODUCTION 157 5.2 PHYSICAL
BACKGROUND AND MODELLING ASPECTS OF AN INDUSTRIAL GAS TURBINE 158 5.2.1
GAS TURBINE MODEL DESCRIPTION 158 5.3 IDENTIFICATION AND FDI OF A SINGLE
SHAFT INDUSTRIAL GAS TURBINEL68 5.3.1 SYSTEM IDENTIFICATION 169 5.3.2
FDI USING DYNAMIC OBSERVERS 176 5.3.3 FDI USING KALMAN FILTERS 183 5.3.4
FUZZY SYSTEM IDENTIFICATION AND FDI 189 5.3.5 SENSOR
FAULT,IDENTIFICATION USING NEURAL NETWORKS .... 191 5.3.6 MULTIPLE
WORKING CONDITIONS FDI USING NEURAL NET- WORKS 196 5.3.7 FDI METHOD
DEVELOPMENT 196 5.3.8 MULTIPLE OPERATING POINT SIMULATION RESULTS 197
5.4 IDENTIFICATION AND FDI OF DOUBLE SHAFT INDUSTRIAL GAS TURBINE 199
5.4.1 PROCESS DESCRIPTION 199 5.4.2 SYSTEM IDENTIFICATION 201 5.4.3 FDI
USING UNKNOWN INPUT OBSERVERS 203 5.4.4 FDI USING KALMAN FILTERS 208
5.4.5 DISTURBANCE DECOUPLED OBSERVERS FOR SENSOR FDI 209 5.4.6 FUZZY
MODELS FOR FAULT DIAGNOSIS 210 5.5 MODELLING AND FDI OF A TURBINE
PROTOTYPE 214 5.5.1 SYSTEM MODELLING AND IDENTIFICATION 215 5.6 TURBINE
FDI USING OUTPUT OBSERVERS 220 5.6.1 CASE 1: COMPRESSOR FAILURE
(COMPONENT FAULT) 221 5.6.2 CASE 2: FAULT DIAGNOSIS OF THE OUTPUT SENSOR
223 5.6.3 CASE 3: TURBINE DAMAGE ( TURBINE COMPONENT FAULT) . TIL 5.6.4
CASE 4: ACTUATOR FAULT (CONTROLLER MALFUNCTIONING). .. 228 5.6.5 FDI IN
NOISY ENVIRONMENT USING KALMAN FILTERS 233 5.6.6 FAULT ISOLATION 235
5.6.7 MINIMAL DETECTABLE FAULTS ,239 5.7 FDI WITH EIGENSTRUCTURE
ASSIGNMENT 242 XIV TABLE OF CONTENTS 5.7.1 ROBUST FAULT DIAGNOSIS OF THE
INDUSTRIAL PROCESS 243 5.8 ROBUST RESIDUAL GENERATION PROBLEM 247 5.9
SUMMARY 249 6. CONCLUDING REMARKS 251 6.1 SUGGESTIONS FOR FUTURE WORK
253 6.1.1 FREQUENCY DOMAIN RESIDUAL GENERATION 253 6.1.2 ADAPTIVE
RESIDUAL GENERATORS 255 6.1.3 INTEGRATION OF IDENTIFICATION, FDI AND
CONTROL 256 6.1.4 FAULT IDENTIFICATION : 256 6.1.5 FAULT DIAGNOSIS OF
NON-LINEAR DYNAMIC SYSTEMS 258 REFERENCES 261 INDEX 279
|
| any_adam_object | 1 |
| author | Simani, Silvio Fantuzzi, Cesare Patton, Ron 1949- |
| author_GND | (DE-588)12184871X |
| author_facet | Simani, Silvio Fantuzzi, Cesare Patton, Ron 1949- |
| author_role | aut aut aut |
| author_sort | Simani, Silvio |
| author_variant | s s ss c f cf r p rp |
| building | Verbundindex |
| bvnumber | BV014811342 |
| callnumber-first | T - Technology |
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| callnumber-search | TA169.6 S55 2003 |
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| callnumber-subject | TA - General and Civil Engineering |
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| dewey-full | 620/.0044 |
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| dewey-ones | 620 - Engineering and allied operations |
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| dewey-search | 620/.0044 |
| dewey-sort | 3620 244 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Technik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik Maschinenbau |
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| id | DE-604.BV014811342 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T19:07:27Z |
| institution | BVB |
| isbn | 1852336854 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-010022033 |
| oclc_num | 424206418 |
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| owner_facet | DE-91G DE-BY-TUM |
| physical | XIV, 282 S. graph. Darst. : 24 cm |
| publishDate | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | Springer |
| record_format | marc |
| series2 | Advances in industrial control |
| spelling | Simani, Silvio Verfasser aut Model based fault diagnosis in dynamic systems using identification techniques Silvio Simani, Cesare Fantuzzi and Ron J. Patton Model-based fault diagnosis in dynamic systems using identification techniques London [u.a.] Springer 2003 XIV, 282 S. graph. Darst. : 24 cm txt rdacontent n rdamedia nc rdacarrier Advances in industrial control Literaturverz. S. 261 - 277 Commande automatique Détection de défaut (Ingénierie) - Modèles mathématiques Pannes Gasturbinenanlage (DE-588)4125128-3 gnd rswk-swf Prozessregelung (DE-588)4222919-4 gnd rswk-swf Dynamisches System (DE-588)4013396-5 gnd rswk-swf Prozessüberwachung (DE-588)4133922-8 gnd rswk-swf Systemidentifikation (DE-588)4121753-6 gnd rswk-swf Fehlererkennung (DE-588)4133764-5 gnd rswk-swf Dynamisches System (DE-588)4013396-5 s Systemidentifikation (DE-588)4121753-6 s Fehlererkennung (DE-588)4133764-5 s Gasturbinenanlage (DE-588)4125128-3 s Prozessüberwachung (DE-588)4133922-8 s Prozessregelung (DE-588)4222919-4 s DE-604 Fantuzzi, Cesare Verfasser aut Patton, Ron 1949- Verfasser (DE-588)12184871X aut HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010022033&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Simani, Silvio Fantuzzi, Cesare Patton, Ron 1949- Model based fault diagnosis in dynamic systems using identification techniques Commande automatique Détection de défaut (Ingénierie) - Modèles mathématiques Pannes Gasturbinenanlage (DE-588)4125128-3 gnd Prozessregelung (DE-588)4222919-4 gnd Dynamisches System (DE-588)4013396-5 gnd Prozessüberwachung (DE-588)4133922-8 gnd Systemidentifikation (DE-588)4121753-6 gnd Fehlererkennung (DE-588)4133764-5 gnd |
| subject_GND | (DE-588)4125128-3 (DE-588)4222919-4 (DE-588)4013396-5 (DE-588)4133922-8 (DE-588)4121753-6 (DE-588)4133764-5 |
| title | Model based fault diagnosis in dynamic systems using identification techniques |
| title_alt | Model-based fault diagnosis in dynamic systems using identification techniques |
| title_auth | Model based fault diagnosis in dynamic systems using identification techniques |
| title_exact_search | Model based fault diagnosis in dynamic systems using identification techniques |
| title_full | Model based fault diagnosis in dynamic systems using identification techniques Silvio Simani, Cesare Fantuzzi and Ron J. Patton |
| title_fullStr | Model based fault diagnosis in dynamic systems using identification techniques Silvio Simani, Cesare Fantuzzi and Ron J. Patton |
| title_full_unstemmed | Model based fault diagnosis in dynamic systems using identification techniques Silvio Simani, Cesare Fantuzzi and Ron J. Patton |
| title_short | Model based fault diagnosis in dynamic systems using identification techniques |
| title_sort | model based fault diagnosis in dynamic systems using identification techniques |
| topic | Commande automatique Détection de défaut (Ingénierie) - Modèles mathématiques Pannes Gasturbinenanlage (DE-588)4125128-3 gnd Prozessregelung (DE-588)4222919-4 gnd Dynamisches System (DE-588)4013396-5 gnd Prozessüberwachung (DE-588)4133922-8 gnd Systemidentifikation (DE-588)4121753-6 gnd Fehlererkennung (DE-588)4133764-5 gnd |
| topic_facet | Commande automatique Détection de défaut (Ingénierie) - Modèles mathématiques Pannes Gasturbinenanlage Prozessregelung Dynamisches System Prozessüberwachung Systemidentifikation Fehlererkennung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010022033&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT simanisilvio modelbasedfaultdiagnosisindynamicsystemsusingidentificationtechniques AT fantuzzicesare modelbasedfaultdiagnosisindynamicsystemsusingidentificationtechniques AT pattonron modelbasedfaultdiagnosisindynamicsystemsusingidentificationtechniques |