Please use this identifier to cite or link to this item:
Title: A PdM framework Through the Event-based Genomics of Machine Breakdown
Authors: Danishvar, M
Angadi, VC
Mousavi, A
Keywords: real-time Event Sequencing;genomics of Machine Breakdown;predictive Maintenance;regressive Event Tracker;RUL;machine learning;compression moulding machine
Issue Date: 20-Aug-2020
Citation: Danishvar, M., Angadi, V.C. and Mousavi, A. (2020) 'A PdM framework Through the Event-based Genomics of Machine Breakdown', Proceedings of the 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM), Vancouver, BC, Canada, 20-23 August, pp. 1 - 6. doi: 10.1109/APARM49247.2020.9209530.
ISBN: 978-1-7281-7102-9 (ebk)
978-1-7281-7103-6 (PoD)
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. See: kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.