Issues of fault diagnosis for dynamic systems:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
Springer
2000
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXV, 597 S. graph. Darst. |
| ISBN: | 3540199683 |
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| 245 | 1 | 0 | |a Issues of fault diagnosis for dynamic systems |c Ron J. Patton ... (ed.) |
| 264 | 1 | |a London [u.a.] |b Springer |c 2000 | |
| 300 | |a XXV, 597 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Fault location (Engineering) - Mathematical models | |
| 650 | 4 | |a Fault location (Engineering) | |
| 650 | 4 | |a System failures (Engineering) | |
| 650 | 0 | 7 | |a Dynamisches System |0 (DE-588)4013396-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Fehlererkennung |0 (DE-588)4133764-5 |2 gnd |9 rswk-swf |
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| 689 | 0 | 1 | |a Dynamisches System |0 (DE-588)4013396-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Patton, Ron J. |d 1949- |e Sonstige |0 (DE-588)12184871X |4 oth | |
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Datensatz im Suchindex
| DE-BY-862_location | 2000 |
|---|---|
| DE-BY-FWS_call_number | 2000/ZQ 5060 P322 |
| DE-BY-FWS_katkey | 177108 |
| DE-BY-FWS_media_number | 083000315474 |
| _version_ | 1821916366663319552 |
| adam_text |
TABLE
OF
CONTENTS
LIST
OF
CONTRIBUTORS
.
XXIII
INTRODUCTION
R.
J.
PATTON,
P.
M.
FRANK
AND
R.
N.
CLARK
.
1
1.1
BACKGROUND
AND
DEFINITIONS
.
1
1.2
FAULT
DIAGNOSIS
METHODOLOGY
.
5
1.3
SUMMARY
OF
STRUCTURE
AND
CONTENT
OF
THE
BOOK
.
6
INTEGRATION
OF
FAULT
DETECTION
AND
DIAGNOSIS
METHODS
ROLF
ISERMANN
.
15
2.1
INTRODUCTION
.
15
2.2
FAULT
DETECTION
AND
FAULT
DIAGNOSIS
.
16
2.3
MODEL-BASED
FAULT
DETECTION
METHODS
.
18
2.3.1
FAULT
DETECTION
WITH
PARAMETER
ESTIMATION
.
19
2.3.2
FAULT
DETECTION
WITH
STATE-ESTIMATION
.
21
2.3.3
FAULT
DETECTION
WITH
PARITY
EQUATIONS
.
25
2.3.4
FAULT
DETECTION
WITH
SIGNAL
MODELS
.
26
2.3.5
CHANGE
DETECTION
AND
SYMPTOM
GENERATION
.
27
2.4
APPLICABILITY
OF
MODEL-BASED
FAULT
DETECTION
METHODS
.
28
2.4.1
ASSUMPTIONS
OF
MODEL-BASED
FAULT
DETECTION
.
28
2.4.2
FAULT
MODELLING
.
30
2.4.3
SUITABILITY
OF
QUANTITATIVE
MODEL-BASED
FAULT
DETECTION
METHODS
.
31
2.5
INTEGRATION
OF
DIFFERENT
FAULT
DETECTION
METHODS
.
32
2.6
FAULT
DIAGNOSIS
METHODS
.
33
2.6.1
SYMPTOM
REPRESENTATION
.
33
2.6.2
HEURISTIC
KNOWLEDGE
REPRESENTATION
.
35
2.6.3
DIAGNOSTIC
REASONING
.
38
VIII
TABLE
OF
CONTENTS
APPENDIX
A.
PARAMETER
ESTIMATION
AND
STATE
ESTIMATION
FOR
THE
DETECTION
OF
TOOL
WEAR
AND
BREAKAGE
FOR
MACHINE
TOOLS
.
41
APPENDIX
B:
FAULT
DIAGNOSIS
OF
A
MACHINE
TOOL
FEED
DRIVE
WITH
FUZZY
REASONING
.
45
OBSERVABILITY
AND
REDUNDANCY
DECOMPOSITION
APPLICATION
TO
DIAGNOSIS
JOSE
RAGOT,
DIDIER
MAQUIN
AND
FREDERIC
KRATZ
.
51
3.1
INTRODUCTION
.
51
3.2
STATIC
REDUNDANCY
EQUATIONS
.
53
3.2.1
PRESENTATION
.
54
3.2.2
GENERATION
OF
REDUNDANCY
EQUATIONS
BY
DIRECT
ELIMINATION
.
55
3.2.3
GENERATION
OF
REDUNDANCY
EQUATIONS
BY
PROJECTION
.
55
3.2.4
THE
CONSTRAINT
STATIC
CASE
.
56
3.2.5
A
SYSTEMATIC
DECOMPOSITION
.
58
3.2.6
EXAMPLE
.
60
3.3
DYNAMIC
REDUNDANCY
EQUATIONS
.
61
3.3.1
PRESENTATION
.
61
3.3.2
BASIS
OF
REDUNDANCY
GENERATION
.
62
3.3.3
DIRECT
REDUNDANCY
(SELF-REDUNDANCY)
.
62
3.3.4
REDUNDANCY
BETWEEN
SENSORS
(INTER-REDUNDANCY)
.
64
3.3.5
DIRECT
GENERATION
OF
THE
REDUNDANCY
EQUATIONS
.
65
3.3.6
GENERATION
OF
REDUNDANCIES
BY
REDUCTION
OF
THE
STATE
EQUATIONS
.
68
3.3.7
GENERATION
OF
REDUNDANCIES
BY
PROJECTION
.
69
3.3.8
GENERATION
OF
NON-INDEPENDENT
REDUNDANCY
EQUATIONS
.
70
3.3.9
INTERCONNECTED
SYSTEMS
.
72
3.3.10
OBSERVABILITY
DECOMPOSITION
.
73
3.4
ANALYSIS
OF
THE
RESIDUALS
.
75
3.4.1
PRESENTATION
.
76
3.4.2
RESIDUAL
CRITERION
ANALYSIS
.
79
3.4.3
IMBALANCES
OR
ADJUSTMENTS
USING
VECTORS
ANALYSIS
.
80
3.4.4
GENERALISED
LIKELIHOOD
RATIO
APPROACH
.
81
3.4.5
PARITY
SPACE
APPROACH
.
82
FAULT
DETECTION
AND
ISOLATION
FOR
LINEAR
SYSTEMS
USING
DETECTION
OBSERVERS
CHONGZHI
FANG,
WEI
GE
AND
DEYUN
XIAO
.
87
4.1
PROBLEM
FORMULATION
.
87
4.1.1
SYSTEM
MODEL
WITH
FAULT
MODES
.
87
4.1.2
FAULT
DETECTION
USING
OBSERVERS
.
87
4.2
DETECTION
OBSERVERS
.
88
4.2.1
DEFINITION
OF
DETECTION
OBSERVERS
.
88
4.2.2
FAULT
DETECTABILITY
.
89
TABLE
OF
CONTENTS
IX
4.3
FAULT
ISOLATION
LOGIC
.
91
4.3.1
FAULT
ISOLATION
PROBLEM
.
91
4.3.2
FAULT
ISOLATION
LOGIC
.
91
4.3.3
THE
MAXIMUM
FAULT
ISOLATION
INFORMATION
.
93
4.3.4
ADDITIONAL
FAULT
ISOLATION
LOGIC
.
97
4.3.5
SOLUTION
OF
FAULT
ISOLATION
PROBLEM
.
99
4.4
DETECTION
OBSERVER
SYSTEM
DESIGN
.
100
4.4.1
DETECTION
SIGNALS
OF
A
DETECTION
OBSERVER
.
100
4.4.2
CONDITIONS
OF
EXISTENCE
FOR
SENSITIVITY
VECTORS
.
101
4.4.3
SOLUTION
FOR
DETECTION
OBSERVER
STRUCTURE
CONDITIONS
.
103
4.4.4
DESIGN
ALGORITHM
FOR
DETECTION
OBSERVER
WITH
GIVEN
SENSITIVITY
.
106
4.5
AN
EXAMPLE
.
107
FAULT
DETECTION
AND
ISOLATION
FOR
DESCRIPTOR
SYSTEMS
MING
HOU
.
115
5.1
INTRODUCTION
.
115
5.2
PROBLEM
FORMULATION
.
115
5.3
THE
EXISTENCE
OF
ANALYTICAL
REDUNDANCY
.
118
5.4
FAULT
DETECTABILITY
.
120
5.5
FAULT
ISOLABILITY
.
125
5.6
FDI
OBSERVER
DESIGN
.
127
5.7
ILLUSTRATIVE
EXAMPLE
.
130
5.8
CONCLUDING
REMARKS
.
137
5.9
APPENDIX:
PROOFS
OF
THEOREMS
.
139
ROBUST
OBSERVER-BASED
FAULT
DIAGNOSIS
IN
NON-LINEAR
UNCERTAIN
SYSTEMS
RALF
SELIGER
AND
PAUL
M.
FRANK
.
145
6.1
INTRODUCTION
.
145
6.2
PROBLEM
STATEMENT
.
147
6.3
RESIDUAL
GENERATION
BY
NON-LINEAR
UNKNOWN
INPUT
OBSERVERS
.
149
6.4
PROCESS
MODELLING
.
151
6.4.1
NOMINAL
PROCESS
MODEL
.
152
6.4.2
FAULT
AND
DISTURBANCE
MODELLING
.
152
6.5
DISTURBANCE
DECOUPLING
.
156
6.5.1
FAULT
SENSITIVE
DISTURBANCE
DECOUPLING
TRANSFORMATION
.
156
6.5.2
SOLUTION
PROCEDURES
.
157
6.6
DESIGN
OF
NON-LINEAR
UNKNOWN
INPUT
FAULT
DETECTION
OBSERVERS
.
164
6.6.1
DESIGN
BY
ESTIMATION
ERROR
LINEARISATION
.
165
6.6.2
DESIGN
BY
PARTIAL
ESTIMATION
ERROR
LINEARISATION
.
170
6.6.3
DESIGN
BY
LINEARISATION
ABOUT
THE
ESTIMATED
STATE
.
172
6.7
ROBUST
RESIDUAL
EVALUATION
BY
THRESHOLD
SELECTION
.
175
X
THBLE
OF
CONTENTS
6.8
A
PERFORMANCE
INDEX
.
179
6.8.1
COMPUTATIONAL
EVALUATION
OF
THE
PERFORMANCE
INDEX
.
181
6.9
APPLICATION
EXAMPLE
.
183
6.10
CONCLUSIONS
.
185
UNCERTAINTY
MODELLING
AND
ROBUST
FAULT
DIAGNOSIS
FOR
DYNAMIC
SYSTEMS
RON
J.
PATTON
AND
JIE
CHEN
.
189
7.1
INTRODUCTION
.
189
7.2
BRIEF
DETAILS
OF
ROBUST
FAULT
DIAGNOSIS
USING
EIGENSTRUCTURE
ASSIGNMENT
.
190
7.3
DIRECT
DETERMINATION
AND
OPTIMISATION
OF
DISTURBANCE
DISTRIBUTION
MATRIX
.
193
7.3.1
NOISE
AND
ADDITIVE
NON-LINEARITY
.
193
7.3.2
MODEL
REDUCTION
.
193
7.3.3
PARAMETER
PERTURBATIONS
.
194
7.3.4
LOW
RANK
APPROXIMATION
OF
DISTRIBUTION
MATRIX
.
195
7.3.5
BOUNDED
UNCERTAINTY
.
196
7.4
ESTIMATION
OF
DISTURBANCE
AND
DISTURBANCE
DISTRIBUTION
MATRIX
.
197
7.4.1
ESTIMATION
OF
DISTURBANCE
VECTOR
USING
AN
AUGMENTED
OBSERVER
.
198
7.4.2
ESTIMATION
OF
DISTURBANCE
DISTRIBUTION
MATRIX
.
199
7.4.3
ESTIMATION
OF
DISTURBANCE
VECTOR
USING
DE-CONVOLUTION
.
200
7.5
OPTIMISATION
OF
DISTRIBUTION
MATRIX
FOR
VARYING
OPERATING
POINT
CASES
.
204
7.6
MODELLING
AND
FAULT
DETECTION
FOR
JET
ENGINE
SYSTEM
.
205
7.6.1
APPLICATION
OF
DIRECT
COMPUTATION
AND
OPTIMISATION
METHOD
.
207
7.6.2
APPLICATION
OF
AUGMENTED
OBSERVER
METHOD
.
209
7.7
CONCLUSION
.
216
RELIABILITY
MODELS
FOR
SENSOR
FAULT
DETECTION
WITH
STATE-ESTIMATOR
SCHEMES
DIRK
VAN
SCHRICK
AND
PETER
C.
MULLER
.
219
8.1
INTRODUCTION
.
219
8.2
DESCRIPTION
OF
IFD-ESTIMATOR
SCHEMES
.
221
8.3
BASIC
THEORY
OF
MARKOV
PROCESSES
.
225
8.4
MODELLING
OF
THE
IFD-ESTIMATOR
SCHEMES
.
229
8.5
COMPARISON
OF
THE
IFD-ESTIMATOR
SCHEMES
.
235
8.6
CONCLUSIONS
.
243
A
STRUCTURAL
FRAMEWORK
FOR
THE
DESIGN
OF
FDI
SYSTEM
IN
LARGE
SCALE
INDUSTRIAL
PLANTS
TABLE
OF
CONTENTS
XI
M.
STAROSWIECKI,
J.
P.
CASSAR
AND
P.
DECLERCK
.
245
9.1
INTRODUCTION
.
245
9.2
THE
MODEL
BASED
APPROACH
FOR
FDI
.
247
9.2.1
RESIDUAL
GENERATION
USING
ANALYTICAL
MODELS
.
249
9.2.2
THE
LIMITATIONS
OF
ANALYTICAL
MODELS
.
251
9.2.3
THE
STRUCTURAL
APPROACH
.
252
9.3
STRUCTURAL
MODEL
AND
CANONICAL
DECOMPOSITION
.
253
9.3.1
THE
STRUCTURE
OF
THE
MODEL
.
253
9.3.2
DIRECT
REDUNDANCY
RELATIONS
(STAROSWIECKI
&
DECLERCK,
1990)
.
256
9.3.3
DEDUCED
REDUNDANCY
RELATIONS
(STAROSWIECKI
&
DECLERCK,
1990)
.
257
9.3.4
RESIDUAL
GENERATION
.
266
9.3.5
MATCHING
UNDER
CAUSED
CONSTRAINTS
.
266
9.3.6
RELATED
STUDIES
.
268
9.3.7
CONTROL
OF
THE
RESULTS
.
268
9.4
USING
THE
RESIDUALS
FOR
FAULT
DETECTION
AND
ISOLATION
.
269
9.4.1
BOOLEAN
SIGNATURE
OF
A
FAULT
.
270
9.4.2
THE
FDI
PROCEDURE
.
271
9.4.3
ROBUSTNESS
AND
SENSITIVITY
.
277
9.5
THE
IMPLEMENTATION
OF
THE
FDI
PROCEDURE
.
279
9.5.1
DECOMPOSITION
OF
THE
FDI
PROCEDURE
.
280
9.5.2
DISTRIBUTION
OF
THE
FDI
SYSTEM
AND
SMART
INSTRUMENTS
.
282
9.6
CONCLUSIONS
.
283
STRUCTURED
PARITY
EQUATIONS
IN
FAULT
DETECTION
AND
ISOLATION
JANOS
J.
GERTLER
.
285
10.1
INTRODUCTION
.
285
10.2
SYSTEM
DESCRIPTION
.
287
10.2.1
NOMINAL
(FAULT-FREE)
SYSTEM
.
287
10.2.2
ADDITIVE
FAULTS
AND
DISTURBANCES
.
289
10.2.3
MULTIPLICATIVE
FAULTS
AND
MODELLING
ERRORS
.
290
10.3
PARITY
EQUATIONS
.
293
10.3.1
PARITY
EQUATIONS
FROM
THE
INPUT-OUTPUT
MODEL
.
293
10.3.2
PARITY
EQUATIONS
FROM
THE
STATE-SPACE
MODEL
.
295
10.4
STRUCTURING
THE
RESIDUALS
FOR
ADDITIVE
FAULTS
AND
DISTURBANCES
.
296
10.4.1
ISOLABILITY
AND
DISTURBANCE
DECOUPLING
.
297
10.4.2
DESIGNING
THE
EQUATION
STRUCTURE
.
298
10.4.3
STRUCTURED
PARITY
EQUATIONS
.
301
10.4.4
STRUCTURED
RESIDUALS
FROM
THE
STATE-EQUATIONS
.
305
10.5
STRUCTURING
THE
RESIDUALS
FOR
MULTIPLICATIVE
FAULTS
AND
MODELLING
ERRORS
.
305
10.5.1
STRUCTURING
STRATEGIES
.
306
XII
TABLE
OF
CONTENTS
10.5.2
TRANSFORMATION
OF
THE
RESIDUALS
.
306
10.5.3
GENERATING
RESIDUALS
FOR
MIXED
FAULTS
.
310
10.6
CONCLUSION
.
311
INPUT
DESIGN
FOR
CHANGE
DETECTION
FEZA
KERESTECIOGLU
AND
MARTIN
B.
ZARROP
.
315
11.1
INTRODUCTION
.
315
11.2
SPRT
AND
CUSUM
TEST
.
317
11.2.1
SPRT
.
317
11.2.2
CUSUM
TEST
.
319
11.2.3
PERFORMANCE
MEASURES
FOR
THE
CUSUM
TEST
.
320
11.3
INPUT
DESIGN
PROBLEM
.
322
11.4
OFFLINE
INPUTS
.
323
11.4.1
PROBLEM
REFINEMENT
.
323
11.4.2
POWER
CONSTRAINED
INPUTS
.
324
11.5
ONLINE
INPUTS
.
330
11.5.1
PROBLEM
REFINEMENT
.
330
11.5.2
A
SUBOPTIMAL
SOLUTION
.
332
11.6
SIMULATION
EXAMPLES
.
335
11.7
CONCLUSIONS
.
338
ON-LINE
DETECTION
AND
DIAGNOSIS
OF
SENSOR
AND
PROCESS
FAULTS
IN
NUCLEAR
POWER
PLANTS
JOHANNES
PROCK
.
339
12.1
INTRODUCTION:
PROBLEM
STATEMENT
.
339
12.2
A
THREE
LEVEL
CONCEPT
FOR
FAULT
DETECTION
.
341
12.2.1
1ST
LEVEL:
HARDWARE
REDUNDANCY
.
342
12.2.2
2ND
LEVEL:
ANALYTICAL
REDUNDANCY
.
344
12.2.3
3RD
LEVEL:
SYSTEM
REDUNDANCY
.
360
12.3
DIAGNOSTIC
PROBLEMS
.
365
12.3.1
DIAGNOSTIC
INSTABILITY
.
367
12.3.2
ALARM
MESSAGES
OF
THE
THREE
LEVEL
'
S
MODULES
.
368
12.3.3
THE
USE
OF
AN
EXPERRT
DIAGNOSIS
SYSTEM
.
369
12.3.4
HYBRID
AL-SYSTEMS
IDEAS
.
370
12.4
LYDIA
-
A
SYSEM
FOR
EARLY
SENSOR
AND
PROCESS
FAULT
DETECTION
AND
DIAGNOSIS
.
371
12.4.1
A
FIRST
EXAMPLE
.
372
12.4.2
APPLICATION
TO
THE
PRIMARY
AND
SECONDARY
SIDE
OF
A
PRESSURISED
WATER
REACTOR
.
375
12.5
CONCLUSIONS
.
376
APPLICATION
OF
SENSOR
FAULT
CLASSIFICATION
ALGORITHMS
TO
A
BENSON
STEAM
BOILER
TABLE
OF
CONTENTS
XIII
KRISTIAN
KROSCHEL
AND
ANDREAS
WERNZ
.
379
13.1
INTRODUCTION
.
379
13.2
SCHEME
AND
MODEL
OF
THE
STEAM
GENERATOR
.
382
13.2.1
ASSUMPTIONS
ABOUT
THE
ESTIMATION
ERROR
SIGNALS
.
384
13.3
BASIC
INSTRUMENT
FAULT
DIAGNOSIS
SCHEME
.
385
13.3.1
DETECTION
OF
A
SENSOR
FAULT
.
385
13.3.2
ESTIMATION
AND
CLASSIFICATION
OF
A
SENSOR
FAULT
.
387
13.3.3
EXPERIMENTAL
RESULTS
.
390
13.4
SUPPRESSION
OF
MODELLING
ERRORS
.
391
13.4.1
DE-CORRELATION
METHOD
.
392
13.4.2
IMPLEMENTATION
OF
THE
DE-CORRELATION
FILTERS
.
396
13.4.3
RESULTS
.
397
13.5
IDENTIFICATION
OF
PROCESS
PARAMETERS
.
397
13.5.1
BANK
OF
STATE-AUGMENTED
KALMAN
FILTERS
.
400
13.5.2
DESIGN
OF
THE
KALMAN
FILTERS
.
401
13.5.3
COMPUTATION
OF
THE
A
POSTERIORI
PROBABILITIES
.
404
13.5.4
FIGURES
OF
MERIT
FOR
DETECTABILITY
AND
SEPARABILITY
.
404
13.5.5
TUNING
OF
THE
KALMAN
FILTERS
.
405
13.5.6
RESULTS
.
406
13.6
CONCLUSIONS
.
410
DETECTION
OF
EVENTS
IN
SIGNALS
VIA
THE
MODEL-BASED
FAULT
DIAGNOSIS
APPROACH:
APPLICATION
TO
BIO-ELECTRICAL
SIGNALS
DOMINIQUE
SAUTER,
THIERRY
CECCHIN
AND
DAVID
BRIE
.
413
14.1
INTRODUCTION
.
413
14.2
THEORETICAL
BACKGROUND
.
414
14.2.1
PROBLEM
FORMULATION
.
414
14.2.2
RESIDUAL
GENERATION
.
416
14.2.3
RESIDUAL
EVALUATION
.
419
14.2.4
ROBUSTNESS
CONSIDERATIONS
.
421
14.3
BIO-ELECTRICAL
SIGNAL
PROCESSING
.
425
14.3.1
SEPARATION
OF
FAST
AND
SLOW
PHASES
OF
EYE
TRACKING
MOVEMENT
.
425
14.3.2
REJECTION
OF
ARTEFACTS
FOR
EEG
SPECTRAL
ANALYSIS
.
427
14.3.3
EXTRACTION
OF
SPINDLES
IN
SLEEP
EEG
FOR
SPECTRAL
ANALYSIS
.
430
14.4
CONCLUSIONS
.
433
A
STUDY
ON
FAULT-TOLERANT
INTEGRATED
NAVIGATION
SYSTEMS
HONG-YUE
ZHANG,
HAN-GUO
ZHANG,
JIE
CHEN,
RON
J.
PATTON
AND
BRUCE
K.
WALKER
.
435
15.1
INTRODUCTION
.
435
XIV
TREBLE
OF
CONTENTS
15.2
FAULT
TOLERANCE
FOR
A
REDUNDANT
SENSOR
CONFIGURATION
.
437
15.2.1
REDUNDANT
SENSOR
SYSTEMS
.
437
15.2.2
DIRECT
COMPARISON
OF
THE
MEASUREMENTS
.
439
15.2.3
GENERALISED
LIKELIHOOD
TEST
(GLT)
.
441
15.3
COMBINING
ALGORITHM
FOR
DECENTRALISED
ESTIMATION
.
447
15.4
FAULT
DETECTION
AND
ISOLATION
FOR
SUBSYSTEMS
.
452
15.4.1
X
2
TEST
.
452
15.4.2
RESIDUAL
TEST
.
454
15.5
APPLICATION
AND
SIMULATION
RESULTS
.
455
15.6
CONCLUSIONS
.
460
A
HIERARICAL
STRUCTURE
FOR
ON-LINE
PROCESS
FAULT
DIAGNOSIS
BASED
ON
DEEP
QUALITATIVE
MODELLING
JIE
ZHANG
AND
PETER
D.
ROBERTS
.
461
16.1
INTRODUCTION
.
461
16.2
QUALITATIVE
MODELLING
.
463
16.2.1
QUALITATIVE
MODELLING
BASED
ON
CONFLUENCES
.
463
16.2.2
ORDER
OF
MAGNITUDE
REASONING
.
464
16.3 A
HIERARCHICAL
STRUCTURE
FOR
ON-LINE
PROCESS
FAULT
DIAGNOSIS
.
466
16.3.1
THE
LOWER
LEVEL
DIAGNOSIS
SYSTEM
.
466
16.3.2
THE
UPPER
LEVEL
DIAGNOSIS
SYSTEM
.
468
16.4
APPLICATION
TO
A
PILOT
SCALE
MIXING
PROCESS
.
472
16.4.1
THE
MIXING
PROCESS
.
472
16.4.2
QUALITATIVE
MODELLING
OF
THE
MIXING
PROCESS
.
472
16.4.3
FAULT
DETECTION
AND
DIAGNOSIS
.
475
16.4.4
A
CASE
STUDY
.
479
16.4.5
PERFORMANCE
OF
THE
HIERARCHICAL
FAULT
DIAGNOSIS
SYSTEM
.
480
16.5
CONCLUSIONS
.
481
FAULT
DIAGNOSIS
BASED
ON
A
PREDICATE
LOGIC
DESCRIPTION
OF
DYNAMICAL
SYSTEMS
JAN
LUNZE
AND
FRANK
SCHILLER
.
485
17.1
INTRODUCTION
.
485
17.1.1
THE
RATIONALE
FOR
QUALITATIVE
DIAGNOSIS
.
485
17.1.2
OUTLINE
OF
THE
PROPOSED
DIAGNOSTIC
METHOD
.
488
17.2
QUALITATIVE
MODELLING
.
490
17.2.1
QUALITATIVE
VS
QUANTITATIVE
MODELLING
.
490
17.2.2
QUALITATIVE
DESCRIPTION
OF
SIGNALS
.
491
17.2.3
DESCRIPTION
OF
THE
PERTURBED
STEADY
STATE
BY
PROPOSITIONAL
LOGIC
FORMULAE
.
494
17.2.4
DESCRIPTION
OF
THE
PERTURBED
DYNAMICAL
BEHAVIOUR
BY
PREDICATE
LOGIC
FORMULAE
.
496
17.2.5
CAUSALITY
GRAPH
AND
AGGREGATED
CAUSALITY
GRAPH
.
498
TABLE
OF
CONTENTS
XV
17.3
THE
DIAGNOSTIC
PROBLEM
.
500
17.4
DIAGNOSIS
BASED
ON
A
PROPOSITIONAL
LOGIC
DESCRIPTION
OF
THE
SYSTEM
.
500
17.4.1
SOLUTION
BY
A
RESOLUTION
REFUTATION
SYSTEM
.
501
17.4.2
SOLUTION
BY
DEDUCTION
.
501
17.4.3
REDUCTION
OF
THE
SEARCH
SPACE
OF
THE
DEDUCTION
SYSTEM
.
503
17.4.4
THE
STRUCTURE
OF
THE
DIAGNOSTIC
ALGORITHM
.
505
17.5
SOLUTION
BASED
ON
A
PREDICATE
LOGIC
DESCRIPTION
.
506
17.6
EXAMPLE
-
A
TANK
SYSTEM
.
509
17.7
CONCLUSIONS
.
514
MONITORING
AND
DIAGNOSIS
OF
FERMENTATION
PROCESSES
KOUAMANA
BOUSSON,
JEAN-PHILIPPE
STEYER,
BOUTAIB
DAHHOU
AND
LOUISE
TRAVS-MASSUYFES
.
517
18.1
INTRODUCTION
.
517
18.2
FERMENTATION
PROCESSES
.
519
18.2.1
GENERAL
FEATURES
.
519
18.2.2
CASE
STUDY
.
523
18.3
THE
BIOTECH
SYSTEM
.
524
18.3.1
DETECTION
OF
SENSOR
MALFUNCTION
.
525
18.3.2
SIGNAL
INTERPRETATION
.
525
18.3.3
CAUSAL
QUALITATIVE
MODEL
.
527
18.3.4
GENERATING
INFLUENCE
TABLES
.
530
18.4
CA-EN:
A
MODEL-BASED
REASONING
MODULE
.
533
18.4.1
INTRODUCTION
.
535
18.4.2
MODELLING
FORMALISM
.
535
18.4.3
PREDICTION
AND
INTERPRETATION
ALGORITHMS
.
540
18.4.4
INTERPRETATIONS
AND
SUPERVISORY
CONTROL
.
542
18.4.5
APPLICATION
TO
THE
FED-BATCH
FERMENTATION
PROCESS
.
543
18.5
CONCLUSIONS
.
545
PROCESS
MONITORING
AND
FAULT
DETECTION
USING
MULTIVARIATE
SPC
E.B.
MARTIN
AND
A.J.
MORRIS
.
547
19.1
INTRODUCTION
.
547
19.2
PROCESS
MONITORING
AND
PROCESS
CONTROL
.
549
19.3
MULTIVARIATE
STATISTICAL
METHODS
.
550
19.3.1
PRINCIPAL
COMPONENTS
ANALYSIS
(PCA)
.
550
19.3.2
PROJECTION
TO
LATENT
STRUCTURES
.
551
19.4
MULTIVARIATE
STATISTICAL
PROCESS
CONTROL
.
553
19.4.1
THE
SQUARED
PREDICTION
ERROR
PLOT
.
553
19.4.2
CONFIDENCE
BOUNDS
.
554
19.4.3
INTERPRETING
THE
'
OUT
OF
CONTROL
'
SIGNAL
.
555
XVI
TABLE
OF
CONTENTS
19.5
POLYMER
PROCESS
MONITORING
AND
FAULT
DETECTION
.
555
19.6
BATCH
PROCESSES
.
559
19.6.1
MULTI-WAY
PRINCIPAL
COMPONENT
ANALYSIS
.
561
19.6.2
AN
EXAMPLE
OF
PROCESS
PERFORMANCE
MONITORING
OF
A
BATCH
PROCESS
.
562
19.7
CONCLUSIONS
.
564
REFERENCES
.
567 |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV013078813 |
| illustrated | Illustrated |
| indexdate | 2025-01-22T04:00:45Z |
| institution | BVB |
| isbn | 3540199683 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-008910557 |
| oclc_num | 43500136 |
| open_access_boolean | |
| owner | DE-703 DE-862 DE-BY-FWS DE-91 DE-BY-TUM DE-91G DE-BY-TUM DE-573 DE-634 DE-83 DE-706 DE-523 DE-29T |
| owner_facet | DE-703 DE-862 DE-BY-FWS DE-91 DE-BY-TUM DE-91G DE-BY-TUM DE-573 DE-634 DE-83 DE-706 DE-523 DE-29T |
| physical | XXV, 597 S. graph. Darst. |
| publishDate | 2000 |
| publishDateSearch | 2000 |
| publishDateSort | 2000 |
| publisher | Springer |
| record_format | marc |
| spellingShingle | Issues of fault diagnosis for dynamic systems Fault location (Engineering) - Mathematical models Fault location (Engineering) System failures (Engineering) Dynamisches System (DE-588)4013396-5 gnd Fehlererkennung (DE-588)4133764-5 gnd |
| subject_GND | (DE-588)4013396-5 (DE-588)4133764-5 (DE-588)4143413-4 |
| title | Issues of fault diagnosis for dynamic systems |
| title_auth | Issues of fault diagnosis for dynamic systems |
| title_exact_search | Issues of fault diagnosis for dynamic systems |
| title_full | Issues of fault diagnosis for dynamic systems Ron J. Patton ... (ed.) |
| title_fullStr | Issues of fault diagnosis for dynamic systems Ron J. Patton ... (ed.) |
| title_full_unstemmed | Issues of fault diagnosis for dynamic systems Ron J. Patton ... (ed.) |
| title_short | Issues of fault diagnosis for dynamic systems |
| title_sort | issues of fault diagnosis for dynamic systems |
| topic | Fault location (Engineering) - Mathematical models Fault location (Engineering) System failures (Engineering) Dynamisches System (DE-588)4013396-5 gnd Fehlererkennung (DE-588)4133764-5 gnd |
| topic_facet | Fault location (Engineering) - Mathematical models Fault location (Engineering) System failures (Engineering) Dynamisches System Fehlererkennung Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008910557&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT pattonronj issuesoffaultdiagnosisfordynamicsystems |
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