A data-driven prognostic model using time series prediction techniques in maintenance decision making

In recent years, current maintenance strategies have extensively evolved in condition-based maintenance solution in order to achieve a near-zero downtime of equipment function. One of these support elements is the use of prognostic. Prognostic has progressed as a specific function over for the last...

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Bibliographic Details
Main Author:	Siti Azirah, Amai
Format:	Thesis
Language:	English English
Published:	2014
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/14793/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=91704&query_desc=callnum%2Cwrdl%3A%20cdr%2010363
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