Remaining useful life prediction for ball bearings based on health indicators

Remaining useful life prediction for ball bearings based on health indicators

Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches. In this paper, we deal with a non- probabilistic model for RUL pre...

Full description

Bibliographic Details
Main Authors: Al Masry Zeina, Schaible Patrick, Zerhouni Noureddine, Varnier Christophe
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2019/10/matecconf_cifma2019_02003.pdf
id doaj-9f5abd85715a44d887fdf1f0357ec8a9
record_format Article
spelling doaj-9f5abd85715a44d887fdf1f0357ec8a92021-02-02T04:31:12ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012610200310.1051/matecconf/201926102003matecconf_cifma2019_02003Remaining useful life prediction for ball bearings based on health indicatorsAl Masry ZeinaSchaible PatrickZerhouni NoureddineVarnier ChristopheUncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches. In this paper, we deal with a non- probabilistic model for RUL prediction. For this purpose, we propose a model, which is based on health indicators information, that allows to estimate the RUL of ball bearings. The method is applied to simulated data provided by the PRONOSTIA platform designed and realized at AS2M department of FEMTO- ST Institute.https://www.matec-conferences.org/articles/matecconf/pdf/2019/10/matecconf_cifma2019_02003.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Al Masry Zeina
Schaible Patrick
Zerhouni Noureddine
Varnier Christophe
spellingShingle Al Masry Zeina
Schaible Patrick
Zerhouni Noureddine
Varnier Christophe
Remaining useful life prediction for ball bearings based on health indicators
MATEC Web of Conferences
author_facet Al Masry Zeina
Schaible Patrick
Zerhouni Noureddine
Varnier Christophe
author_sort Al Masry Zeina
title Remaining useful life prediction for ball bearings based on health indicators
title_short Remaining useful life prediction for ball bearings based on health indicators
title_full Remaining useful life prediction for ball bearings based on health indicators
title_fullStr Remaining useful life prediction for ball bearings based on health indicators
title_full_unstemmed Remaining useful life prediction for ball bearings based on health indicators
title_sort remaining useful life prediction for ball bearings based on health indicators
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2019-01-01
description Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches. In this paper, we deal with a non- probabilistic model for RUL prediction. For this purpose, we propose a model, which is based on health indicators information, that allows to estimate the RUL of ball bearings. The method is applied to simulated data provided by the PRONOSTIA platform designed and realized at AS2M department of FEMTO- ST Institute.
url https://www.matec-conferences.org/articles/matecconf/pdf/2019/10/matecconf_cifma2019_02003.pdf
work_keys_str_mv AT almasryzeina remainingusefullifepredictionforballbearingsbasedonhealthindicators
AT schaiblepatrick remainingusefullifepredictionforballbearingsbasedonhealthindicators
AT zerhouninoureddine remainingusefullifepredictionforballbearingsbasedonhealthindicators
AT varnierchristophe remainingusefullifepredictionforballbearingsbasedonhealthindicators
_version_ 1724305629615489024

Similar Items