Automotive Data Analytics, Methods and Design of Experiments (DoE)

Automotive Data Analytics, Methods and Design of Experiments (DoE)
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : 3816983812
ISBN-13 : 9783816983811
Rating : 4/5 (12 Downloads)

Book Synopsis Automotive Data Analytics, Methods and Design of Experiments (DoE) by : Clemens Gühmann

Download or read book Automotive Data Analytics, Methods and Design of Experiments (DoE) written by Clemens Gühmann and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


Automotive Data Analytics, Methods and Design of Experiments (DoE) Related Books

Automotive Data Analytics, Methods and Design of Experiments (DoE)
Language: en
Pages:
Authors: Clemens Gühmann
Categories:
Type: BOOK - Published: 2017 - Publisher:

DOWNLOAD EBOOK

Automotive Data Analytics, Methods, DoE
Language: en
Pages:
Authors: Karsten Röpke
Categories:
Type: BOOK - Published: 2017 - Publisher:

DOWNLOAD EBOOK

International Conference on Calibration Methods and Automotive Data Analytics
Language: de
Pages: 306
Authors: Karsten Röpke
Categories: Technology & Engineering
Type: BOOK - Published: 2019-05-20 - Publisher: expert verlag

DOWNLOAD EBOOK

Discussions on electrification, air pollution control and driving bans in inner cities bring major challenges for powertrain development. Real Driving Emissions
Automotive Real-Time Data Analytics a Complete Guide
Language: en
Pages: 290
Authors: Gerardus Blokdyk
Categories:
Type: BOOK - Published: 2018-09-28 - Publisher: 5starcooks

DOWNLOAD EBOOK

Is there a limit on the number of users in Automotive Real-Time Data Analytics ? How can we improve Automotive Real-Time Data Analytics? How does Automotive Rea
Optimization of adaptive test design methods for the determination of steady-state data-driven models in terms of combustion engine calibration
Language: en
Pages: 236
Authors: Sandmeier, Nino
Categories: Technology & Engineering
Type: BOOK - Published: 2022-12-01 - Publisher: Universitätsverlag der TU Berlin

DOWNLOAD EBOOK

This thesis deals with the development of a model-based adaptive test design strategy with a focus on steady-state combustion engine calibration. The first rese