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...
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EDP Sciences
2019-01-01
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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 |
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