Fault diagnosis with tree structured neuro-fuzzy systems:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Düsseldorf
VDI-Verl.
2002
|
| Edition: | Als Ms. gedr. |
| Series: | Fortschritt-Berichte VDI
Reihe 8, Meß-, Steuerungs- und Regelungstechnik ; 957 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Nebentitel: Diagnosis with tree-structured neuro-fuzzy systems |
| Physical Description: | XI, 161 S. Ill., graph. Darst. : 21 cm |
| ISBN: | 3183957086 |
Staff View
MARC
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| 100 | 1 | |a Füssel, Dominik |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Fault diagnosis with tree structured neuro-fuzzy systems |c Dominik Füssel |
| 250 | |a Als Ms. gedr. | ||
| 264 | 1 | |a Düsseldorf |b VDI-Verl. |c 2002 | |
| 300 | |a XI, 161 S. |b Ill., graph. Darst. : 21 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Fortschritt-Berichte VDI : Reihe 8, Meß-, Steuerungs- und Regelungstechnik |v 957 | |
| 500 | |a Nebentitel: Diagnosis with tree-structured neuro-fuzzy systems | ||
| 502 | |a Zugl.: Darmstadt, Techn. Hochsch., Diss., 2002 | ||
| 650 | 0 | 7 | |a Diagnosesystem |0 (DE-588)4149458-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Neuro-Fuzzy-System |0 (DE-588)4560677-8 |2 gnd |9 rswk-swf |
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| 689 | 0 | 1 | |a Neuro-Fuzzy-System |0 (DE-588)4560677-8 |D s |
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| 830 | 0 | |a Fortschritt-Berichte VDI |v Reihe 8, Meß-, Steuerungs- und Regelungstechnik ; 957 |w (DE-604)BV000882482 |9 957 | |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-010308260 | |
Record in the Search Index
| _version_ | 1826204978479366144 |
|---|---|
| adam_text |
V
CONTENTS
SYMBOLS
AND
NOTATIONS
VIII
1
INTRODUCTION
1
1.1
PART
I
-
GENERAL
INTRODUCTION
.
1
1.1.1
FAULT
DETECTION
AND
DIAGNOSIS
.
3
1.1.2
THESIS
STRUCTURE
AND
NEW
CONTRIBUTIONS
.
4
1.1.3
TERMINOLOGY
.
5
1.2
PART
II
-
CHALLENGES
FOR
FAULT
DETECTION
AND
DIAGNOSIS
.
6
1.2.1
KNOWLEDGE
REPRESENTATION
.
6
1.2.2
PRIOR
KNOWLEDGE
.
7
1.2.3
TYPICAL
SYMPTOM
DISTRIBUTIONS
.
7
1.2.4
DATA
SIZE
.
8
1.2.5
SYMPTOM
REPRESENTATION
.
9
2
FAULT
DIAGNOSIS
METHODS
-
STATE
OF
THE
ART
10
2.1
FAULT
TREES
.
10
2.2
SIMPLE
PATTERN
CLASSIFICATION
METHODS
.
12
2.2.1
BAYES
CLASSIFICATION
.
13
2.2.2
GEOMETRIC
CLASSIFIERS
.
15
2.2.3
POLYNOMIAL
CLASSIFICATION
.
16
2.3
DECISION
TREES
.
18
2.4
FUZZY-LOGIC
CLASSIFICATION
SYSTEMS
.
20
2.5
NEURAL
NETWORKS
.
21
2.5.1
MULTI-LAYER
PERCEPTRON
NETWORKS
.
22
2.5.2
RADIAL-BASIS
FUNCTION
NETWORKS
.
24
2.5.3
CLUSTERING
AND
SELF-ORGANIZING
NETWORKS
.
26
2.6
SUMMARY
.
26
3
HYBRID
NEURO-FUZZY
SYSTEMS
27
3.1
STRUCTURES
.
28
3.1.1
GENERIC
HYBRID
NEURO-FUZZY
MODEL
.
29
3.1.2
MAMDANI
AND
SINGLETON
NEURO-FUZZY
SYSTEMS
.
30
3.1.3
TAKAGI-SUGENO
NEURO-FUZZY
SYSTEMS
.
33
3.2
IDENTIFICATION
OF
MEMBERSHIP
FUNCTIONS
.
35
3.3
IDENTIFICATION
OF
RULES
WITH
PREDEFINED
MEMBERSHIP
FUNCTIONS
.
39
3.3.1
SEQUENTIAL
BACKWARD
ELIMINATION
(SBE)
.
39
VI
CONTENTS
3.3.2
SEQUENTIAL
FORWARD
SELECTION
(SFS)
.
41
3.3.3
IDENTIFICATION
OF
RULES
CONCURRENT
WITH
MEMBERSHIP
FUNCTIONS
.
42
3.4
OPTIMIZATION
METHODS
.
43
3.5
OTHER
METHODS
OF
RULE
GENERATION
.
44
3.5.1
CLUSTERING
APPROACHES
.
44
3.5.2
GENETIC
ALGORITHM
BASED
APPROACHES
.
44
3.5.3
STATISTICAL
APPROACHES
.
44
3.6
RULE
IDENTIFICATION,
INTERPRETATION
AND
TRANSPARENCY
.
44
3.6.1
CONSTRAINED
LEARNING
EXAMPLE
.
47
3.7
SUMMARY
.
51
4
SELF-LEARNING
CLASSIFICATION
TREE
-
SELECT
52
4.1
FROM
PARALLEL
TO
HIERARCHICAL
RULE
STRUCTURES
.
52
4.1.1
PARALLEL
RULE
BASES
.
53
4.1.2
HIERARCHICAL
RULE
BASES
.
54
4.2
SELECT
STRUCTURE
.
56
4.3
LEARNING
ALGORITHM
.
58
4.3.1
DESIGN
OF
MEMBERSHIP
FUNCTIONS
.
58
4.3.2
SELECTION
OF
CANDIDATE
RULES
.
60
4.3.3
EVALUATION
OF
CANDIDATE
RULES
.
61
4.3.4
SELECT
LEARNING
EXAMPLE
.
62
4.4
OPTIMIZATION
OF
RELEVANCE
WEIGHTS
.
63
4.4.1
STATISTICAL
INTERPRETATION
OF
THE
OPTIMIZATION
.
65
4.4.2
OPTIMIZATION
WITH
OPERATOR-LINEARIZATION
.
66
4.5
PRIOR
KNOWLEDGE
AND
RELATION
TO
FAULT
TREES
.
66
4.6
GENERATION
OF
ADDITIONAL
FUZZY
ATTRIBUTES
BY
ERROR
BACK-PROJECTION
.
67
4.7
RULE
IDENTIFICATION
ISSUES
.
70
4.8
COMPUTATIONAL
COMPLEXITY
.
72
4.9
PRACTICAL
USE
OF
THE
SELECT
METHOD
.
72
4.10
SUMMARY
.
73
5
LOCAL
POLYNOMIAL
CLASSIFIERS
-
LOLICLASS
74
5.1
LOLIMOT
ALGORITHM
.
74
5.1.1
TRAINING
PROCEDURE
.
75
5.2
EXTENSION
FOR
CLASSIFICATION
PROBLEMS
.
76
5.2.1
PARAMETER
SELECTION
.
78
5.3
SUPPORT
VECTOR
MACHINES
AND
LOLICLASS
.
79
5.4
SUMMARY
.
83
6
APPLICATIONS:
FAULT
DETECTION
AND
DIAGNOSIS
OF
FLUID
SYSTEM
COMPONENTS
84
6.1
SUPERVISION
AND
DIAGNOSIS
OF
CENTRIFUGAL
PUMPS
.
84
6.1.1
EXPERIMENTAL
SETUP
.
85
6.1.2
CURRENT
SUPERVISION
CONCEPTS
FOR
CENTRIFUGAL
PUMPS
.
86
6.1.3
PHYSICAL
MODELING
OF
PUMPS
AND
FLUID
CIRCUITS
.
88
6.1.4
THE
PIPE
SYSTEM
.
91
6.1.5
EXPERIMENTAL
MODELING
OF
PUMP
AND
PIPE
SYSTEM
.
92
CONTENTS
VN
6.1.6
DESIGN
OF
PRIMARY
OUTPUT-ERROR
RESIDUALS
.
98
6.1.7
ADDITIONAL
SYMPTOMS
FOR
FAULT
DETECTION
AND
DIAGNOSIS
.
100
6.1.8
EXAMINED
FAULTS
.
105
6.1.9
RESIDUAL
BEHAVIOR
DURING
FAULT
EXPERIMENTS
.
105
6.1.10
DIAGNOSIS
.
109
6.1.11
PUMP
AND
FLUID
CIRCUIT
ON-LINE
SUPERVISION
AND
DIAGNOSIS
.
114
6.1.12
FAULT
DETECTABILITY
AND
DIAGNOSABILITY
.114
6.2
FAULT
DIAGNOSIS
OF
AN
ELECTRO-PNEUMATIC
VALVE
.
116
6.2.1
PROCESS
DESCRIPTION
.
116
6.2.2
INVESTIGATED
FAULTS
AND
SYMPTOM
GENERATION
.
116
6.2.3
DIAGNOSIS
RESULTS
.
118
6.3
SUMMARY
.
119
7
OTHER
APPLICATIONS
120
7.1
DIRECT
CURRENT
MOTOR
DIAGNOSIS
.
120
7.1.1
SYMPTOM
GENERATION
AND
FAULT
DETECTION
.
120
7.1.2
DIAGNOSIS
SYSTEM
WITH
SELECT
.
123
7.1.3
RESULTS
.
124
7.1.4
COMPUTATIONAL
DEMANDS
.
127
7.2
COMBUSTION
ENGINE
MISFIRE
DIAGNOSIS
.
127
7.2.1
INTRODUCTION
AND
PROBLEM
STATEMENT
.
128
7.2.2
FUNDAMENTALS
.
128
7.2.3
DIAGNOSIS
SYSTEM
FOR
ENGINE
MISFIRE
DETECTION
.
129
7.2.4
GLOBAL
MISFIRE
DETECTION
AND
CYLINDER-SELECTIVE
DETECTION
BY
MEANS
OF
FREQUENCY-DOMAIN
APPROACH
.
130
7.2.5
DETERMINATION
OF
MISFIRE
PATTERNS
THROUGH
CLASSIFICATION
.
132
7.2.6
RESULTS
AND
CONCLUSIONS
.
133
7.3
SUMMARY
.
133
8
SUMMARY
134
A
BACKGROUND
138
A.L
FUZZY
LOGIC
.
138
A.1.1
BASICS
.
138
A.
1.2
SIMPLIFICATION
FOR
FAULT
DIAGNOSIS
.
141
A.2
THE
ANDOR
NEURON
MODEL
.
142
B
EXTENSION
OF
THE
PROPOSED
ALGORITHMS
144
B.L
DEGRESSIVE
FUZZY-C-MEANS
.
144
B.2
SELECT
OPTIMIZATION
WITH
OPERATOR
LINEARIZATION
.
146
C
SHORT
DESCRIPTION
OF
DIAGNOSTIC
SOFTWARE
148
D
TECHNICAL
SPECIFICATIONS
OF
THE
EXPERIMENTAL
SETUPS
150
D.L
CENTRIFUGAL
PUMP
AND
FLUID
CIRCUIT
.
150
D.2
ELECTRO-PNEUMATIC
VALVE
.
152
D.3
D.C.
MOTOR
SYSTEM
.
152 |
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| edition | Als Ms. gedr. |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV017091777 |
| illustrated | Illustrated |
| indexdate | 2025-03-10T11:06:22Z |
| institution | BVB |
| isbn | 3183957086 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-010308260 |
| oclc_num | 51487385 |
| open_access_boolean | |
| owner | DE-210 DE-1047 DE-634 |
| owner_facet | DE-210 DE-1047 DE-634 |
| physical | XI, 161 S. Ill., graph. Darst. : 21 cm |
| publishDate | 2002 |
| publishDateSearch | 2002 |
| publishDateSort | 2002 |
| publisher | VDI-Verl. |
| record_format | marc |
| series | Fortschritt-Berichte VDI |
| series2 | Fortschritt-Berichte VDI : Reihe 8, Meß-, Steuerungs- und Regelungstechnik |
| spelling | Füssel, Dominik Verfasser aut Fault diagnosis with tree structured neuro-fuzzy systems Dominik Füssel Als Ms. gedr. Düsseldorf VDI-Verl. 2002 XI, 161 S. Ill., graph. Darst. : 21 cm txt rdacontent n rdamedia nc rdacarrier Fortschritt-Berichte VDI : Reihe 8, Meß-, Steuerungs- und Regelungstechnik 957 Nebentitel: Diagnosis with tree-structured neuro-fuzzy systems Zugl.: Darmstadt, Techn. Hochsch., Diss., 2002 Diagnosesystem (DE-588)4149458-1 gnd rswk-swf Neuro-Fuzzy-System (DE-588)4560677-8 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Diagnosesystem (DE-588)4149458-1 s Neuro-Fuzzy-System (DE-588)4560677-8 s DE-604 Fortschritt-Berichte VDI Reihe 8, Meß-, Steuerungs- und Regelungstechnik ; 957 (DE-604)BV000882482 957 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010308260&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Füssel, Dominik Fault diagnosis with tree structured neuro-fuzzy systems Fortschritt-Berichte VDI Diagnosesystem (DE-588)4149458-1 gnd Neuro-Fuzzy-System (DE-588)4560677-8 gnd |
| subject_GND | (DE-588)4149458-1 (DE-588)4560677-8 (DE-588)4113937-9 |
| title | Fault diagnosis with tree structured neuro-fuzzy systems |
| title_auth | Fault diagnosis with tree structured neuro-fuzzy systems |
| title_exact_search | Fault diagnosis with tree structured neuro-fuzzy systems |
| title_full | Fault diagnosis with tree structured neuro-fuzzy systems Dominik Füssel |
| title_fullStr | Fault diagnosis with tree structured neuro-fuzzy systems Dominik Füssel |
| title_full_unstemmed | Fault diagnosis with tree structured neuro-fuzzy systems Dominik Füssel |
| title_short | Fault diagnosis with tree structured neuro-fuzzy systems |
| title_sort | fault diagnosis with tree structured neuro fuzzy systems |
| topic | Diagnosesystem (DE-588)4149458-1 gnd Neuro-Fuzzy-System (DE-588)4560677-8 gnd |
| topic_facet | Diagnosesystem Neuro-Fuzzy-System Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010308260&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000882482 |
| work_keys_str_mv | AT fusseldominik faultdiagnosiswithtreestructuredneurofuzzysystems |