Automotive data analytics, methods, DoE: proceedings of the International Calibration Conference, with 267 figures and 33 tables
Saved in:
| Corporate Author: | |
|---|---|
| Format: | Conference Proceeding Book |
| Language: | English |
| Published: |
Renningen
expert verlag
[2017]
|
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis Inhaltsverzeichnis |
| Physical Description: | 369 Seiten Illustrationen, Diagramme |
| ISBN: | 9783816933816 3816933815 |
Staff View
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV044491723 | ||
| 003 | DE-604 | ||
| 005 | 20180109 | ||
| 007 | t| | ||
| 008 | 170918s2017 gw a||| |||| 10||| eng d | ||
| 015 | |a 17,N12 |2 dnb | ||
| 015 | |a 17,A28 |2 dnb | ||
| 016 | 7 | |a 1127594966 |2 DE-101 | |
| 020 | |a 9783816933816 |c Broschur : circa EUR 66.00 (DE), circa EUR 67.90 (AT), CHF 81.00 (freier Preis) |9 978-3-8169-3381-6 | ||
| 020 | |a 3816933815 |9 3-8169-3381-5 | ||
| 024 | 3 | |a 9783816933816 | |
| 035 | |a (OCoLC)1011118227 | ||
| 035 | |a (DE-599)DNB1127594966 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a gw |c XA-DE | ||
| 049 | |a DE-83 |a DE-573 |a DE-862 | ||
| 082 | 0 | |a 629.250151957 |2 22/ger | |
| 084 | |a ZO 4250 |0 (DE-625)157719: |2 rvk | ||
| 084 | |a 004 |2 sdnb | ||
| 084 | |a 620 |2 sdnb | ||
| 084 | |a 510 |2 sdnb | ||
| 111 | 2 | |a International Calibration Conference |n 9. |d 2017 |c Berlin |j Verfasser |0 (DE-588)113227897X |4 aut | |
| 245 | 1 | 0 | |a Automotive data analytics, methods, DoE |b proceedings of the International Calibration Conference, with 267 figures and 33 tables |c Dr.-Ing. Karsten Röpke, Prof. Dr.-Ing. Clemens Gühmann (ed.) and 88 co-autors |
| 264 | 1 | |a Renningen |b expert verlag |c [2017] | |
| 300 | |a 369 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a Motorsteuerung |0 (DE-588)7578671-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Motorenbau |0 (DE-588)4275781-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Kraftfahrzeugmotor |0 (DE-588)4127798-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Automatisches Kalibrieren |0 (DE-588)4343426-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Steuergerät |0 (DE-588)103238512X |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Verbrennungsmotor |0 (DE-588)4062661-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Versuchsplanung |0 (DE-588)4078859-3 |2 gnd |9 rswk-swf |
| 653 | |a DoE | ||
| 653 | |a Optimization | ||
| 653 | |a Machine learning | ||
| 653 | |a big data | ||
| 653 | |a artificial intelligence | ||
| 653 | |a Knowledge generation | ||
| 653 | |a Simulation environments | ||
| 653 | |a Optimization of complex structures | ||
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 2017 |z Berlin |2 gnd-content | |
| 689 | 0 | 0 | |a Motorenbau |0 (DE-588)4275781-2 |D s |
| 689 | 0 | 1 | |a Kraftfahrzeugmotor |0 (DE-588)4127798-3 |D s |
| 689 | 0 | 2 | |a Verbrennungsmotor |0 (DE-588)4062661-1 |D s |
| 689 | 0 | 3 | |a Motorsteuerung |0 (DE-588)7578671-0 |D s |
| 689 | 0 | 4 | |a Steuergerät |0 (DE-588)103238512X |D s |
| 689 | 0 | 5 | |a Automatisches Kalibrieren |0 (DE-588)4343426-5 |D s |
| 689 | 0 | 6 | |a Versuchsplanung |0 (DE-588)4078859-3 |D s |
| 689 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 8 | |a Big Data |0 (DE-588)4802620-7 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Röpke, Karsten |d 1966- |e Sonstige |0 (DE-588)11555923X |4 oth | |
| 700 | 1 | |a Gühmann, Clemens |d 1962- |e Sonstige |0 (DE-588)172108837 |4 oth | |
| 710 | 2 | |a expert-Verlag GmbH Fachverlag für Wirtschaft und Technik |0 (DE-588)1065539371 |4 pbl | |
| 856 | 4 | 2 | |m X:MVB |q text/html |u http://deposit.dnb.de/cgi-bin/dokserv?id=2bab66c5f6324623918f65930fbac7f2&prov=M&dok_var=1&dok_ext=htm |3 Inhaltstext |
| 856 | 4 | 2 | |m B:DE-101 |q application/pdf |u http://d-nb.info/1127594966/04 |3 Inhaltsverzeichnis |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029891658&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-029891658 | |
Record in the Search Index
| DE-BY-862_location | 2000 |
|---|---|
| DE-BY-FWS_call_number | 2000/ZO 2450 R716 |
| DE-BY-FWS_katkey | 671803 |
| DE-BY-FWS_media_number | 083000518221 |
| _version_ | 1824553968897884160 |
| adam_text |
CONTENTS
PREFACE
1 BIG DATA
1.1
1.1 MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE FOR ENGINE CALIBRATION
.
1
MIRKO KNAAK, MICHAEL HEGMANN, DANIEL REPPEL, FELIX SPRINGER
1.2 BIG DATA AND MACHINE LEARNING MADE
EASY.11
DMYTRO MARTYNENKO, ARVIND HOSAGRAHARA, SETH DE LAND
2 CALIBRATION
.
18
2.1 AUTOMATED CALIBRATION USING SIMULATION AND ROBUST DESIGN
OPTIMIZATION IMPROVING SHIFT AND LAUNCH QUALITY OF AUTOMATIC
TRANSMISSIONS.18
KASSEM WEHBI, ANDREAS WURM, DIETER BESTIE, JOERG BEILHARZ
2.2 DEVELOPMENT OF A SIMULATION PLATFORM FOR VALIDATION
AND OPTIMISATION OF REAL-WORLD EMISSIONS
.
34
TOM BERGHMANS, AYMERIC RATEAU, KOTARO MAEDA, THIEBAULT PAQUET
2.3 IMPLEMENTATION OF DATA-BASED MODELS USING DEDICATED MACHINE
LEARNING HARDWARE (AMU) AND ITS IMPACT ON FUNCTION DEVELOPMENT
AND THE CALIBRATION
PROCESSES.
52
STEFAN ANGERMAIER, MUKUNDA GOPALAKRISHNAN
3 DESIGN OF EXPERIMENTS
1.79
3.1 THE GLOBAL DOE MODEL BASED CALIBRATION AND THE TEST AUTOMATION
OF THE GASOLINE
ENGINE.
79
YOOSHIN CHO, DONGHEE HAN
3.2 OPTIMIZATION OF ECU MAP SAMPLING POINT VALUES AND POSITIONS
WITH MODEL-BASED CALIBRATION
.
89
JAN-CHRISTOPH GOOS, MATTHIAS BRUMM, SEBASTIAN WEBER, FRANK KIRSCHBAUM,
YAGIZ DURSUN, THOMAS KOCH
3.3 DYNAMIC ROUTE-BASED DESIGN OF EXPERIMENTS (R-DOE)
.
109
THOMAS MAYER, MOHAMED AYEB, LUDWIG BRABETZ
4 POSTER
SESSION.121
4.1 SYSTEM FOR REAL-TIME EVALUATION
OF REAL DRIVE EMISSION (RDE) DATA
.
121
RAJESH REDDY, SVEN MEYER
4.2 SYSTEM OPTIMIZATION FOR AUTOMATED CALIBRATION OF ECU FUNCTIONS
.
129
ANDRAE SELL, FRANK GUTMANN, TOBIAS GUTMANN
4.3 DYNAMIC MBC METHODOLOGY FOR TRANSIENT ENGINE
COMBUSTION OPTIMIZATION
.
136
KENTO FUKUHARA, DANIEL RIMMELSPACHER, WOLF BAUMANN, KARSTEN ROEPKE,
YUTAKA MURATA, YUI NISHIO, MASATO KIKUCHI, YUKIHISA YAMAYA
4.4 IMPLEMENTING A REAL TIME EXHAUST GAS TEMPERATURE MODEL
FOR A DIESEL ENGINE WITH ASC@ECU
.
163
SIMON WUNDERLIN, ANTOINE HURSTEL, ERNST KLOPPENBURG
5 DYNAMIC
.
173
5.1 DYNAMIC MODELLING FOR GASOLINE DIRECT INJECTION
ENGINES.173
TARO SHISHIDO, JING HE, MASATAKA KAIHATSU, CARSTEN HAUKAP,
THOMAS DREHER, MICHAEL HEGMANN
5.2 EXCITATION SIGNAL DESIGN FOR NONLINEAR DYNAMIC SYSTEMS
.
191
TIM OLIVER HEINZ, MARK SCHILLINGER, BENJAMIN HARTMANN, OLIVER NELLES
6 DESIGN OF EXPERIMENTS
II.209
6.1 APPLICATION OF A DOE BASED ROBUST DESIGN PROCESS CHAIN
FOR SYSTEM SIMULATION OF ENGINE SYSTEMS
.
209
MATTHIAS HEKRENZ, DANIEL REPPEL, MICHAEL HEGMANN, JOCHEN BROZ,
CHRISTOPH BRANDS
6.2 APPLICATION OF EMULATOR MODELS IN HYBRID VEHICLE DEVELOPMENT
.
222
JUSTIN SEABROOK, PASCAL REVEREAULT, MIKE PRESTON, MARKUS GRAHN,
JOHAN BRINGHED, BJOERN LUNDBERG
6.3 FAST RESPONSE SURROGATES AND SENSITIVITY ANALYSIS
BASED ON PHYSICO-CHEMICAL ENGINE SIMULATION
APPLIED TO MODERN COMPRESSION IGNITION ENGINES
.
233
OWEN PARRY, JULIAN DIZY, VIVIAN PAGE, AM IT BHAVE, DAVID OOI
7 BIG DATA I I
.
256
7.1 THE CONNECTED CAR AND ITS NEW POSSIBILITIES IN ECU CALIBRATION
.
256
LARS HAGEN, ANDREAS WALTER, MICHAEL BARGENDE
7.2 PROCESSING VEHICLE-RELATED MEASUREMENT DATA
.
270
LEON EVGENI KUSNEZOW, ORTWIN ESCHER
8 DATA
ANALYTICS.
283
8.1 ON THE SELECTION OF APPROPRIATE DATA FROM ROUTINE VEHICLE OPERATION
FOR SYSTEM IDENTIFICATION OF A DIESEL ENGINE GAS SYSTEM
.
283
MATTHIAS KAHL, ANDREAS KROLL, ROBERT KAESTNER, MANFRIED SOFSKY
8.2 DATA PLAUSIBILITY AT THE ENGINE TEST BENCH -
HOW IMPORTANT IS THE HUMAN FACTOR IN THE PROCESS?
.
300
HANNO IHME-SCHRAMM, ALEXANDRA SCHRAMM
9 DESIGN OF EXPERIMENTS
III.309
9.1 NON-CONVEX HULLS FOR ENGINEERING APPLICATIONS
.
309
NICO DIDCOCK, NIKOLAUS KEUTH, ANDREAS RAINER
9.2 MODERN ONLINE DOE METHODS FOR CALIBRATION - CONSTRAINT MODELING,
CONTINUOUS BOUNDARY ESTIMATION, AND ACTIVE LEARNING
.
321
MARK SCHILLINGEN KADIR MOURAT, BENJAMIN HARTMANN, CAROLA ECKSTEIN,
MARTIN JACOB, ERNST KLOPPENBURG, OLIVER NELLES
9.3 MODEL-BASED ITERATIVE DOE IN HIGHLY CONSTRAINED SPACES
.
336
STEFAN SCHEIDEI, MARIE-SOPHIE VOGELS
9.4 APPROACH FOR AUTOMATED ADJUSTING
OF THE ROAD LOAD AND TIRE SIMULATION ON POWERTRAIN TEST BEDS
.
349
VAGIZ DURSUN, SEBASTIAN WEBER, RICHARD JAKOBI, FRANK KIRSCHBAUM,
STEPHAN RINDERKNECHT
THE AUTHORS 366 |
| any_adam_object | 1 |
| author_GND | (DE-588)11555923X (DE-588)172108837 |
| author_corporate | International Calibration Conference Berlin |
| author_corporate_role | aut |
| author_facet | International Calibration Conference Berlin |
| author_sort | International Calibration Conference Berlin |
| building | Verbundindex |
| bvnumber | BV044491723 |
| classification_rvk | ZO 4250 |
| ctrlnum | (OCoLC)1011118227 (DE-599)DNB1127594966 |
| dewey-full | 629.250151957 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.250151957 |
| dewey-search | 629.250151957 |
| dewey-sort | 3629.250151957 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Maschinenbau / Maschinenwesen Informatik Mathematik Verkehr / Transport |
| format | Conference Proceeding Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV044491723</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20180109</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">170918s2017 gw a||| |||| 10||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">17,N12</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">17,A28</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1127594966</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783816933816</subfield><subfield code="c">Broschur : circa EUR 66.00 (DE), circa EUR 67.90 (AT), CHF 81.00 (freier Preis)</subfield><subfield code="9">978-3-8169-3381-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3816933815</subfield><subfield code="9">3-8169-3381-5</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9783816933816</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1011118227</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1127594966</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-83</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">629.250151957</subfield><subfield code="2">22/ger</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZO 4250</subfield><subfield code="0">(DE-625)157719:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">004</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">620</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">510</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="111" ind1="2" ind2=" "><subfield code="a">International Calibration Conference</subfield><subfield code="n">9.</subfield><subfield code="d">2017</subfield><subfield code="c">Berlin</subfield><subfield code="j">Verfasser</subfield><subfield code="0">(DE-588)113227897X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Automotive data analytics, methods, DoE</subfield><subfield code="b">proceedings of the International Calibration Conference, with 267 figures and 33 tables</subfield><subfield code="c">Dr.-Ing. Karsten Röpke, Prof. Dr.-Ing. Clemens Gühmann (ed.) and 88 co-autors</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Renningen</subfield><subfield code="b">expert verlag</subfield><subfield code="c">[2017]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">369 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Motorsteuerung</subfield><subfield code="0">(DE-588)7578671-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Motorenbau</subfield><subfield code="0">(DE-588)4275781-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Kraftfahrzeugmotor</subfield><subfield code="0">(DE-588)4127798-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Automatisches Kalibrieren</subfield><subfield code="0">(DE-588)4343426-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Steuergerät</subfield><subfield code="0">(DE-588)103238512X</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Verbrennungsmotor</subfield><subfield code="0">(DE-588)4062661-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Versuchsplanung</subfield><subfield code="0">(DE-588)4078859-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">DoE</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">big data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Knowledge generation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Simulation environments</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Optimization of complex structures</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="y">2017</subfield><subfield code="z">Berlin</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Motorenbau</subfield><subfield code="0">(DE-588)4275781-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Kraftfahrzeugmotor</subfield><subfield code="0">(DE-588)4127798-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Verbrennungsmotor</subfield><subfield code="0">(DE-588)4062661-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Motorsteuerung</subfield><subfield code="0">(DE-588)7578671-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Steuergerät</subfield><subfield code="0">(DE-588)103238512X</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Automatisches Kalibrieren</subfield><subfield code="0">(DE-588)4343426-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="6"><subfield code="a">Versuchsplanung</subfield><subfield code="0">(DE-588)4078859-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="8"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Röpke, Karsten</subfield><subfield code="d">1966-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)11555923X</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gühmann, Clemens</subfield><subfield code="d">1962-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)172108837</subfield><subfield code="4">oth</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">expert-Verlag GmbH Fachverlag für Wirtschaft und Technik</subfield><subfield code="0">(DE-588)1065539371</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">X:MVB</subfield><subfield code="q">text/html</subfield><subfield code="u">http://deposit.dnb.de/cgi-bin/dokserv?id=2bab66c5f6324623918f65930fbac7f2&prov=M&dok_var=1&dok_ext=htm</subfield><subfield code="3">Inhaltstext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">B:DE-101</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://d-nb.info/1127594966/04</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">DNB Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029891658&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029891658</subfield></datafield></record></collection> |
| genre | (DE-588)1071861417 Konferenzschrift 2017 Berlin gnd-content |
| genre_facet | Konferenzschrift 2017 Berlin |
| id | DE-604.BV044491723 |
| illustrated | Illustrated |
| indexdate | 2025-02-20T06:44:18Z |
| institution | BVB |
| institution_GND | (DE-588)113227897X (DE-588)1065539371 |
| isbn | 9783816933816 3816933815 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029891658 |
| oclc_num | 1011118227 |
| open_access_boolean | |
| owner | DE-83 DE-573 DE-862 DE-BY-FWS |
| owner_facet | DE-83 DE-573 DE-862 DE-BY-FWS |
| physical | 369 Seiten Illustrationen, Diagramme |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | expert verlag |
| record_format | marc |
| spellingShingle | Automotive data analytics, methods, DoE proceedings of the International Calibration Conference, with 267 figures and 33 tables Motorsteuerung (DE-588)7578671-0 gnd Big Data (DE-588)4802620-7 gnd Motorenbau (DE-588)4275781-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Kraftfahrzeugmotor (DE-588)4127798-3 gnd Automatisches Kalibrieren (DE-588)4343426-5 gnd Steuergerät (DE-588)103238512X gnd Verbrennungsmotor (DE-588)4062661-1 gnd Versuchsplanung (DE-588)4078859-3 gnd |
| subject_GND | (DE-588)7578671-0 (DE-588)4802620-7 (DE-588)4275781-2 (DE-588)4193754-5 (DE-588)4127798-3 (DE-588)4343426-5 (DE-588)103238512X (DE-588)4062661-1 (DE-588)4078859-3 (DE-588)1071861417 |
| title | Automotive data analytics, methods, DoE proceedings of the International Calibration Conference, with 267 figures and 33 tables |
| title_auth | Automotive data analytics, methods, DoE proceedings of the International Calibration Conference, with 267 figures and 33 tables |
| title_exact_search | Automotive data analytics, methods, DoE proceedings of the International Calibration Conference, with 267 figures and 33 tables |
| title_full | Automotive data analytics, methods, DoE proceedings of the International Calibration Conference, with 267 figures and 33 tables Dr.-Ing. Karsten Röpke, Prof. Dr.-Ing. Clemens Gühmann (ed.) and 88 co-autors |
| title_fullStr | Automotive data analytics, methods, DoE proceedings of the International Calibration Conference, with 267 figures and 33 tables Dr.-Ing. Karsten Röpke, Prof. Dr.-Ing. Clemens Gühmann (ed.) and 88 co-autors |
| title_full_unstemmed | Automotive data analytics, methods, DoE proceedings of the International Calibration Conference, with 267 figures and 33 tables Dr.-Ing. Karsten Röpke, Prof. Dr.-Ing. Clemens Gühmann (ed.) and 88 co-autors |
| title_short | Automotive data analytics, methods, DoE |
| title_sort | automotive data analytics methods doe proceedings of the international calibration conference with 267 figures and 33 tables |
| title_sub | proceedings of the International Calibration Conference, with 267 figures and 33 tables |
| topic | Motorsteuerung (DE-588)7578671-0 gnd Big Data (DE-588)4802620-7 gnd Motorenbau (DE-588)4275781-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Kraftfahrzeugmotor (DE-588)4127798-3 gnd Automatisches Kalibrieren (DE-588)4343426-5 gnd Steuergerät (DE-588)103238512X gnd Verbrennungsmotor (DE-588)4062661-1 gnd Versuchsplanung (DE-588)4078859-3 gnd |
| topic_facet | Motorsteuerung Big Data Motorenbau Maschinelles Lernen Kraftfahrzeugmotor Automatisches Kalibrieren Steuergerät Verbrennungsmotor Versuchsplanung Konferenzschrift 2017 Berlin |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=2bab66c5f6324623918f65930fbac7f2&prov=M&dok_var=1&dok_ext=htm http://d-nb.info/1127594966/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029891658&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT internationalcalibrationconferenceberlin automotivedataanalyticsmethodsdoeproceedingsoftheinternationalcalibrationconferencewith267figuresand33tables AT ropkekarsten automotivedataanalyticsmethodsdoeproceedingsoftheinternationalcalibrationconferencewith267figuresand33tables AT guhmannclemens automotivedataanalyticsmethodsdoeproceedingsoftheinternationalcalibrationconferencewith267figuresand33tables AT expertverlaggmbhfachverlagfurwirtschaftundtechnik automotivedataanalyticsmethodsdoeproceedingsoftheinternationalcalibrationconferencewith267figuresand33tables |
Description
THWS Schweinfurt Zentralbibliothek Lesesaal
| Call Number: |
2000 ZO 2450 R716 |
|---|---|
| Copy 1 | ausleihbar Available Place a Hold |