Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
4
Authors
Priyanka, EB; Thangavel, S; Gao, Xiao-Zhi; Sivakumar, NS

Publication channel information

Title of journal/series
Journal of industrial information integration
ISSN (print)
2467-964X
ISSN (electronic)
2452-414X
ISSN (linking)
2452-414X
Publication forum ID
86283
Publication forum level
1
Country of publication
Netherlands
Internationality
Yes

Detailed publication information

Publication year
2022
Reporting year
2022
Journal/series volume number
26
Article number
100272
DOI
10.1016/j.jii.2021.100272
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Link to self-archived version
https://erepo.uef.fi/handle/123456789/28786

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences

Source database ID

WoS ID
WOS:000783308800003
Scopus ID
2-s2.0-85116812999