A Classification Framework for Predicting Components' Remaining Useful Life Based on Discrete-Event Diagnostic Data
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Author / Producer
Date
2015-09
Publication Type
Journal Article
ETH Bibliography
yes
Citations
Altmetric
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Rights / License
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Publication status
published
External links
Editor
Book title
Journal / series
Volume
64 (3)
Pages / Article No.
1049 - 1056
Publisher
IEEE
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Classification task; Extreme learning machine; Railway rolling stock; Remaining useful life prediction
Organisational unit
03674 - Weidmann, Ulrich / Weidmann, Ulrich
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Notes
Manuscript received 23 December 2013, Revised 23 November 2014, Accepted 26 January 2015, Published online 22 Juni 2015.