Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

Nijat Mehdiyev; Johannes Lahann; Andreas Emrich; David Lee Enke; Peter Fettke; Peter Loos

doi:10.1016/j.procs.2017.09.066

Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

Nijat Mehdiyev
, Johannes Lahann
, Andreas Emrich
, David Lee Enke
, Peter Fettke
, Peter Loos

Engineering Management and Systems Engineering

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	242-249
Number of pages	8
Journal	Procedia Computer Science
Volume	114
DOIs	https://doi.org/10.1016/j.procs.2017.09.066
State	Published - 2017
Event	Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS 2017 - Chicago, United States Duration: Oct 30 2017 → Nov 6 2017

ASJC Scopus Subject Areas

General Computer Science

Keywords

Deep Learning
Process Industry
Steel Surface Defect Detection
Time Series Classification

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10.1016/j.procs.2017.09.066

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@article{ca2055e46ad347f38ef7fc1b926e053a,

title = "Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry",

keywords = "Deep Learning, Process Industry, Steel Surface Defect Detection, Time Series Classification",

author = "Nijat Mehdiyev and Johannes Lahann and Andreas Emrich and Enke, \{David Lee\} and Peter Fettke and Peter Loos",

year = "2017",

doi = "10.1016/j.procs.2017.09.066",

language = "English",

volume = "114",

pages = "242--249",

journal = "Procedia Computer Science",

issn = "1877-0509",

note = "Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS 2017 ; Conference date: 30-10-2017 Through 06-11-2017",

}

TY - JOUR

T1 - Time Series Classification using Deep Learning for Process Planning

T2 - Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS 2017

AU - Mehdiyev, Nijat

AU - Lahann, Johannes

AU - Emrich, Andreas

AU - Enke, David Lee

AU - Fettke, Peter

AU - Loos, Peter

PY - 2017

Y1 - 2017

KW - Deep Learning

KW - Process Industry

KW - Steel Surface Defect Detection

KW - Time Series Classification

UR - https://www.scopus.com/pages/publications/85040011060

UR - https://www.scopus.com/pages/publications/85040011060#tab=citedBy

U2 - 10.1016/j.procs.2017.09.066

DO - 10.1016/j.procs.2017.09.066

M3 - Conference article

SN - 1877-0509

VL - 114

SP - 242

EP - 249

JO - Procedia Computer Science

JF - Procedia Computer Science

Y2 - 30 October 2017 through 6 November 2017

ER -

Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

ASJC Scopus Subject Areas

Keywords

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