A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation

Alexander Wurl; Andreas Falkner; Alois Haselböck; Alexandra Mazak

doi:10.1109/CBI.2019.00073

A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation

Alexander Wurl
, Andreas Falkner
, Alois Haselböck
, Alexandra Mazak

Institute of Business Informatics - Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

In Rail Automation, a crucial task in the maintenance phase comprises the process of failure analysis. Domain experts are often faced with various challenges in analyzing large data volumes which reveal highly complex data structures. However, finding causes for potential failures and deciding how to optimize or repair the system may be extensively time consuming. To this end, we propose the concept of a digital companion which serves as continuous assistant recommending optimizations. A sequence of different data analytics methods within the digital companion enables the domain expert to reasonably manage and control the process of failure analysis. In illustrative examples, we give insights in the workflow of a digital companion and discuss the application in the domain of Rail Automation

Original language	English
Title of host publication	Proceedings of the 21st IEEE Conference on Business Informatics (CBI 2019), Moscow, Russia, July 15-17, 2019
Editors	Jorg Becker, Dmitriy Novikov
Pages	578-583
Number of pages	6
Volume	1
ISBN (Electronic)	9781728106502
DOIs	https://doi.org/10.1109/CBI.2019.00073
Publication status	Published - Jul 2019

Fields of science

202017 Embedded systems
102002 Augmented reality
102006 Computer supported cooperative work (CSCW)
102015 Information systems
102020 Medical informatics
102022 Software development
102034 Cyber-physical systems
201132 Computational engineering
201305 Traffic engineering
207409 Navigation systems
502032 Quality management
502050 Business informatics
503015 Subject didactics of technical sciences

JKU Focus areas

Digital Transformation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CBI.2019.00073

Cite this

@inproceedings{1144f305715546c9919bccdb730d1720,

title = "A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation",

abstract = "In Rail Automation, a crucial task in the maintenance phase comprises the process of failure analysis. Domain experts are often faced with various challenges in analyzing large data volumes which reveal highly complex data structures. However, finding causes for potential failures and deciding how to optimize or repair the system may be extensively time consuming. To this end, we propose the concept of a digital companion which serves as continuous assistant recommending optimizations. A sequence of different data analytics methods within the digital companion enables the domain expert to reasonably manage and control the process of failure analysis. In illustrative examples, we give insights in the workflow of a digital companion and discuss the application in the domain of Rail Automation",

author = "Alexander Wurl and Andreas Falkner and Alois Haselb{\"o}ck and Alexandra Mazak",

year = "2019",

month = jul,

doi = "10.1109/CBI.2019.00073",

language = "English",

volume = "1",

pages = "578--583",

editor = "Jorg Becker and Dmitriy Novikov",

booktitle = "Proceedings of the 21st IEEE Conference on Business Informatics (CBI 2019), Moscow, Russia, July 15-17, 2019",

}

A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation. / Wurl, Alexander; Falkner, Andreas; Haselböck, Alois et al.
Proceedings of the 21st IEEE Conference on Business Informatics (CBI 2019), Moscow, Russia, July 15-17, 2019. ed. / Jorg Becker; Dmitriy Novikov. Vol. 1 2019. p. 578-583 8808054.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation

AU - Wurl, Alexander

AU - Falkner, Andreas

AU - Haselböck, Alois

AU - Mazak, Alexandra

PY - 2019/7

Y1 - 2019/7

N2 - In Rail Automation, a crucial task in the maintenance phase comprises the process of failure analysis. Domain experts are often faced with various challenges in analyzing large data volumes which reveal highly complex data structures. However, finding causes for potential failures and deciding how to optimize or repair the system may be extensively time consuming. To this end, we propose the concept of a digital companion which serves as continuous assistant recommending optimizations. A sequence of different data analytics methods within the digital companion enables the domain expert to reasonably manage and control the process of failure analysis. In illustrative examples, we give insights in the workflow of a digital companion and discuss the application in the domain of Rail Automation

AB - In Rail Automation, a crucial task in the maintenance phase comprises the process of failure analysis. Domain experts are often faced with various challenges in analyzing large data volumes which reveal highly complex data structures. However, finding causes for potential failures and deciding how to optimize or repair the system may be extensively time consuming. To this end, we propose the concept of a digital companion which serves as continuous assistant recommending optimizations. A sequence of different data analytics methods within the digital companion enables the domain expert to reasonably manage and control the process of failure analysis. In illustrative examples, we give insights in the workflow of a digital companion and discuss the application in the domain of Rail Automation

UR - https://www.scopus.com/pages/publications/85072031001

U2 - 10.1109/CBI.2019.00073

DO - 10.1109/CBI.2019.00073

M3 - Conference proceedings

VL - 1

SP - 578

EP - 583

BT - Proceedings of the 21st IEEE Conference on Business Informatics (CBI 2019), Moscow, Russia, July 15-17, 2019

A2 - Becker, Jorg

A2 - Novikov, Dmitriy

ER -

A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation

Abstract

Fields of science

JKU Focus areas

UN SDGs

Access to Document

Other files and links

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this

A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation

Abstract

Fields of science

JKU Focus areas

UN SDGs

Access to Document

Other files and links

Projects

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this