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

Thumbnail
Metadata only
Autor(in)
Fink, Olga
Zio, Enrico
Weidmann, Ulrich
Datum
2015-09
Typ
    Journal Article
Publikationsstatus
published
Externe Links
Zeitschrift / Serie
IEEE Transactions on Reliability
Band
64(3)
Seiten / Artikelnummer
1049 - 1056
Verlag
IEEE
Thema
Classification task; Extreme learning machine; Railway rolling stock; Remaining useful life prediction
Organisationseinheit
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
Anmerkungen
Manuscript received 23 December 2013, Revised 23 November 2014, Accepted 26 January 2015, Published online 22 Juni 2015.
Mehr
Alle Metadaten anzeigen
Zitate
null Zitate in Scopus
ETH Bibliographie
yes
Altmetrics