Time series analysis methods and applications for flight data:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
Springer
[2017]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | x, 240 Seiten Illustrationen, Diagramme |
| ISBN: | 9783662534281 3662534282 |
Internformat
MARC
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| 100 | 1 | |a Zhang, Jianye |e Verfasser |0 (DE-588)1127262920 |4 aut | |
| 245 | 1 | 0 | |a Time series analysis methods and applications for flight data |c Jianye Zhang, Peng Zhang |
| 264 | 1 | |a Berlin |b Springer |c [2017] | |
| 264 | 4 | |c © 2017 | |
| 300 | |a x, 240 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
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| 689 | 0 | 3 | |a Zeitreihenanalyse |0 (DE-588)4067486-1 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Zhang, Peng |e Verfasser |4 aut | |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-029405236 | |
Datensatz im Suchindex
| _version_ | 1817967949007290368 |
|---|---|
| adam_text |
CONTENTS
1
INTRODUCTION.
1
1.1 FLIGHT DATA RECORDER S YSTEM
.
1
1.1.1 O VERVIEW
.
1
1.1.2 DEVELOPMENTS
.
2
1.1.3 MILITARY A
PPLICATIONS.
10
1.2 APPLICATION RESEARCH FOR FLIGHT D A
TA. 11
1.2.1 BASIC
CONCEPTS.
11
1.2.2 RESEARCH
STATUS.
12
1.3 RESEARCH DOMAIN AND MAIN
CONTENTS. 16
2 PREPROCESSING OF FLIGHT D A T A
. 19
2.1 SUPPORT DEGREE-BASED AMNESIC FUSION FILTERING METHOD
FOR FLIGHT D A TA
.
19
2.1.1 UNIFIED ERROR MODEL OF FLIGHT
DATA. 19
2.1.2 SUPPORT DEGREE-BASED AMNESIC FUSION FILTERING
ALGORITHM.
21
2.1.3 APPLICATION AND C ONCLUSION
.
25
2.2 MISSING FLIGHT DATA FILLING METHOD BASED ON COMPREHENSIVE
WEIGHTING
OPTIMIZATION.
30
2.2.1 MODIFIED NEURAL NETWORK MODEL BASED ON MIXED
ALGORITHM
.
30
2.2.2 POLYNOMIAL FITTING MODEL BASED ON LEAST SQUARE
M
ETHOD.
31
2.2.3 COMPREHENSIVE WEIGHTING METHOD TO FILL THE MISSING
VALUES.
33
2.2.4 SIMULATED ANALYSIS AND C
ONCLUSION. 34
2.3 FLIGHT DATA EXTENSION METHOD BASED ON VIRTUAL SENSOR
T
ECHNOLOGIES.
35
2.3.1 OVERVIEW OF VIRTUAL SENSOR TECHNOLOGIES
.
35
2.3.2 VIRTUAL FLIGHT DATA EXTENSION BASED ON MATHEMATICAL
M ODEL
.
36
2.3.3 VIRTUAL FLIGHT DATA EXTENSION BASED ON BP N ETW ORK
.
37
2.4 SELF-EXPANDING GENETIC ALGORITHM FOR FEATURE SELECTION
IN MONITORING FLIGHT DATA C APACITY
.
41
2.4.1 FEATURE SELECTION AND GENETIC A LGORITHM
.
42
2.4.2 SELF-EXPANDING GENETIC A LGORITHM
.
44
2.4.3 CASE VERIFICATION AND
ASSESSMENT. 47
2.5 CHAOTIC PROPERTY ANALYSIS OF FLIGHT D ATA
.
49
2.5.1 MATHEMATICAL DESCRIPTION OF PHASE SPACE
RECONSTRUCTION OF THE CHAOTIC SERIES
.
50
2.5.2 ANALYSIS AND VERIFICATION OF CHAOTIC P RO P ERTY
.
56
3 TYPICAL TIME SERIES ANALYSIS OF FLIGHT DATA
BASED ON ARMA M O D E L
.
65
3.1 THEORY OF ARMA M O D EL
.
65
3.1.1 MATHEMATICAL M
ODEL. 66
3.1.2 MODELING P ROCESS
.
67
3.1.3 ESTIMATION OF MODEL
PARAMETERS. 70
3.1.4 MODEL APPLICABILITY TEST
.
73
3.1.5 OPTIMUM
PREDICTION.
74
3.2 TREND OF PARAMETER MONITORING METHOD BASED ON AR MODEL . 75
3.2.1 DESCRIPTION FOR STEADY STATE OF A IRCRAFT
.
76
3.2.2 EXTRACTION OF MONITORING PARAMETERS
BASED ON RULE REASONING MACHINE
.
76
3.2.3 MONITORING METHOD OF MEAN-VALUE AND RANGE
BASED ON AR M
ODEL. 80
3.2.4 CASE STUDY AND EFFECT ASSESSM ENT
.
81
4 SIMILARITY SEARCH FOR FLIGHT D A TA
. 87
4.1 THE METHOD OF SIMILARITY ANALYSIS OF TIME SERIES
.
87
4.1.1 O V ERVIEW
.
88
4.1.2 TIME SERIES DIMENSION R EDUCTION
.
89
4.1.3 SIMILARITY MEASUREMENT OF TIME S E RIE S
.
100
4.2 SIMILARITY SEARCH METHOD IN TIME SERIES BASED ON SLOPE
D
ISTANCE.
109
4.2.1 SLOPE SET REPRESENTATION OF TIME SERIES
.
109
4.2.2 SLOPE DISTANCE MEASUREMENT FOR TIME SERIES
.
110
4.2.3 VERIFICATION ON CLUSTERING OF FLIGHT DATA
BASED ON SLOPE DISTANCE
.
I L L
CONTENTS IX
4.3 SIMILARITY SEARCH METHOD IN TIME SERIES BASED ON INCLUDED
ANGLE
DISTANCE.
114
4.3.1 REPRESENTATION OF INCLUDED ANGLE SET FOR TIME SERIES
. 114
4.3.2 INCLUDED ANGLE DISTANCE MEASUREMENT FOR TIME SERIES . . . 116
4.3.3 VERIFICATION ON CLUSTERING OF TIME SERIES
BASED ON INCLUDED ANGLE DISTANCE
.
118
4.4 SIMILARITY SEARCH METHOD IN TIME SERIES BASED ON CURVATURE
DISTANCE.
121
4.4.1 DATA
PREPROCESSING.
121
4.4.2 REPRESENTATION OF CURVATURE SET FOR TIME SERIES
.
123
4.4.3 CURVATURE DISTANCE MEASUREMENT FOR TIME SERIES
.
125
4.4.4 VERIFICATION ON CLUSTERING OF FLIGHT DATA
BASED ON
CURVATURE. 127
4.5 MULTIVARIABLE FLIGHT DATA SIMILARITY SEARCH METHOD INCLUDING
CHANGING STEP TO SET DATA IN DIFFERENT B IN S
.
.
.
132
4.5.1 PIECEWISE LINEAR REPRESENTATION FOR TIME S ERIES
.
132
4.5.2 INDEXING TAG BASED ON CHANGING STEP TO SET DATA
IN DIFFERENT B IN S
.
133
4.5.3 SIMILARITY SEARCH METHOD INCLUDING CHANGING STEP
TO SET DATA IN DIFFERENT BINS
.
135
4.5.4 VERIFICATION ON CLUSTERING OF MULTIVARIABLE FLIGHT DATA
BASED ON SIMILARITY SEARCH METHOD INCLUDING
CHANGING STEP TO SET DATA IN DIFFERENT BINS. 136
4.6 MULTIVARIABLE FLIGHT DATA SIMILARITY SEARCH METHOD
BASED ON QR DECOMPOSITION OF CORRELATION COEFFICIENT MATRIX . . 142
4.6.1 REPRESENTATION OF MATRIX AND PLOT FOR MULTIVARIABLE TIME
S E RIE
S.
142
4.6.2 CORRELATIVE REPRESENTATION OF MATRIX FOR MULTIVARIABLE
TIME
SERIES.
143
4.6.3 QR DISTANCE MEASUREMENT FOR MULTIVARIABLE
TIME
SERIES.
144
4.6.4 VERIFICATION ON CLUSTERING OF MULTIVARIABLE FLIGHT DATA
BASED ON QR D ISTANCE
.
147
5 CONDITION M ONITORING AND TREND PREDICTION
BASED ON FLIGHT D
ATA.
153
5.1 CLUSTERING METHODS BASED ON FLEXIBLE-SIZE GRID FOR AIRPLANE
EQUIPM
ENT.
153
5.1.1 CLUSTERING METHODS OF MULTIVARIATE D A TA
.
154
5.1.2 CLUSTERING METHOD BASED ON DENSITY FUNCTION
.
155
5.1.3 SHRINKING CLUSTERING METHOD BASED ON FLEXIBLE-SIZE
G R I D
.
157
5.1.4 MONITORING EXAMPLES OF FLIGHT EQUIPMENT STATUS
SHRINKING
CLUSTERING.
165
5.2 MUTABILITY FAULT DIAGNOSIS ARITHMETIC
BASED ON EXPERT
SYSTEM.
170
5.2.1 THEORY OF EXPERT S Y STE M
. 171
5.2.2 MAIN FUNCTIONS OF THE AIRCRAFT FAULT DIAGNOSING EXPERT
S Y STE M
.
175
5.2.3 IMPLEMENTATION AND EVALUATION
.
177
5.3 GRADUAL FAULT DIAGNOSIS ARITHMETIC BASED ON DYNAMIC PRINCIPLE
COMPONENT ANALYSIS
.
179
5.3.1 OVERVIEW OF PRINCIPLE COMPONENT A NALYSIS.
179
5.3.2 DYNAMIC PRINCIPLE COMPONENT ANALYSIS M ETHOD
.
181
5.3.3 FAULT DIAGNOSIS ARITHMETIC BASED ON DYNAMIC PRINCIPLE
COMPONENT
ANALYSIS.
182
5.3.4 SIMULATION EVALUATION OF FAULT DIAGNOSIS
.
184
5.4 ENGINE PERFORMANCE PARAMETER PREDICTION
BASED ON W LS-SVM
.
187
5.4.1 BASIC THEORY OF
SVM. 187
5.4.2 THE WEIGHTED LEAST SQUARE SUPPORT VECTOR MACHINE
ARITHMETIC (W LS-SVM )
.
192
5.4.3 WLS-SVM PARAMETRIC PREDICTION M O D E L
.
195
5.4.4 APPLICATION
EXAMPLE.
198
5.5 ENGINE PERFORMANCE DATA PREDICTION ON THE BASIS OF CHAOTIC
S
EQUENCE.
206
5.5.1 CHAOS AND CHAOTIC SEQUENCE
.
207
5.5.2 PREDICTION
MODEL.
208
5.5.3 APPLICATION OF THE M O D
EL. 209
6 DESIGN AND IMPLEMENTATION OF FLIGHT DATA MINING S Y STE M
.
215
6.1 DATA MINING SYSTEM
.
215
6.2 FLIGHT DATA WAREHOUSE
MODELING. 217
6.2.1 THE SPECIAL CHARACTERISTICS OF FLIGHT D A TA
.
217
6.2.2 MINING GOALS OF FLIGHT D ATA
.
218
6.2.3 FLIGHT DATA WAREHOUSE M
ODELING. 219
6.3 DESIGN AND DEVELOPMENT OF PROTOTYPE
SYSTEM. 220
6.3.1 GENERAL D
ESIGN.
220
6.3.2 DATA FLOW
.
222
6.3.3 WORKING
PROCESS.
222
6.3.4 MAIN
FUNCTIONS.
224
6.4 S UM M
ARY.
230
R
EFERENCES.
233 |
| any_adam_object | 1 |
| author | Zhang, Jianye Zhang, Peng |
| author_GND | (DE-588)1127262920 |
| author_facet | Zhang, Jianye Zhang, Peng |
| author_role | aut aut |
| author_sort | Zhang, Jianye |
| author_variant | j z jz p z pz |
| building | Verbundindex |
| bvnumber | BV043997186 |
| classification_rvk | QH 237 ZO 7874 |
| ctrlnum | (OCoLC)973171034 (DE-599)DNB1110044623 |
| dewey-full | 620 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620 |
| dewey-search | 620 |
| dewey-sort | 3620 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Maschinenbau / Maschinenwesen Wirtschaftswissenschaften Verkehr / Transport |
| format | Book |
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| illustrated | Illustrated |
| indexdate | 2024-12-09T13:02:19Z |
| institution | BVB |
| institution_GND | (DE-588)1065168780 |
| isbn | 9783662534281 3662534282 |
| language | English |
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| oclc_num | 973171034 |
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| owner_facet | DE-945 DE-83 |
| physical | x, 240 Seiten Illustrationen, Diagramme |
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| spelling | Zhang, Jianye Verfasser (DE-588)1127262920 aut Time series analysis methods and applications for flight data Jianye Zhang, Peng Zhang Berlin Springer [2017] © 2017 x, 240 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Flugdatenregistriergerät (DE-588)4578644-6 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Flugdaten (DE-588)7706777-0 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Flugdatenregistriergerät (DE-588)4578644-6 s Flugdaten (DE-588)7706777-0 s Data Mining (DE-588)4428654-5 s Zeitreihenanalyse (DE-588)4067486-1 s DE-604 Zhang, Peng Verfasser aut Springer-Verlag GmbH (DE-588)1065168780 pbl Erscheint auch als Online-Ausgabe 978-3-662-53430-4 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=65321e30ba0a4647b71f481e1fe42c30&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029405236&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Zhang, Jianye Zhang, Peng Time series analysis methods and applications for flight data Flugdatenregistriergerät (DE-588)4578644-6 gnd Data Mining (DE-588)4428654-5 gnd Flugdaten (DE-588)7706777-0 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd |
| subject_GND | (DE-588)4578644-6 (DE-588)4428654-5 (DE-588)7706777-0 (DE-588)4067486-1 |
| title | Time series analysis methods and applications for flight data |
| title_auth | Time series analysis methods and applications for flight data |
| title_exact_search | Time series analysis methods and applications for flight data |
| title_full | Time series analysis methods and applications for flight data Jianye Zhang, Peng Zhang |
| title_fullStr | Time series analysis methods and applications for flight data Jianye Zhang, Peng Zhang |
| title_full_unstemmed | Time series analysis methods and applications for flight data Jianye Zhang, Peng Zhang |
| title_short | Time series analysis methods and applications for flight data |
| title_sort | time series analysis methods and applications for flight data |
| topic | Flugdatenregistriergerät (DE-588)4578644-6 gnd Data Mining (DE-588)4428654-5 gnd Flugdaten (DE-588)7706777-0 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd |
| topic_facet | Flugdatenregistriergerät Data Mining Flugdaten Zeitreihenanalyse |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=65321e30ba0a4647b71f481e1fe42c30&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029405236&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT zhangjianye timeseriesanalysismethodsandapplicationsforflightdata AT zhangpeng timeseriesanalysismethodsandapplicationsforflightdata AT springerverlaggmbh timeseriesanalysismethodsandapplicationsforflightdata |