A Classification Framework for Predicting Components' Remaining Useful Life Based on Discrete-Event Diagnostic Data

Thumbnail
Metadata only
Author
Fink, Olga
Zio, Enrico
Weidmann, Ulrich
Date
2015-09
Type
    Journal Article
Publication status
published
External links
Journal / series
IEEE Transactions on Reliability
Volume
64(3)
Pages / Article No.
1049 - 1056
Publisher
IEEE
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.
More
Show all metadata
Citations
Cited null times in Scopus
ETH Bibliography
yes
Altmetrics