Výsledky vyhledávání - "Hassane Hotait"

Akademický článek

Intelligent Online Monitoring of Rolling Bearing: Diagnosis and Prognosis

Autor: Hassane Hotait, Xavier Chiementin, Lanto Rasolofondraibe

Publikováno v: Entropy, Vol 23, Iss 7, p 791 (2021)

This paper suggests a new method to predict the Remaining Useful Life (RUL) of rolling bearings based on Long Short Term Memory (LSTM), in order to obtain the degradation condition of the rolling bearings and realize the predictive maintenance. The a

Externí odkaz: https://doaj.org/article/4b66fb48071148a5b0acaa620bb6c50b

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Monitoring of Ball Bearing Based on Improved Real-Time OPTICS Clustering

Autor: Hassane Hotait, M. Sayed Mouchaweh, Lanto Rasolofondraibe, Xavier Chiementin

Publikováno v: Journal of Signal Processing Systems
Journal of Signal Processing Systems, Springer, 2021, 93, pp.221-237. ⟨10.1007/s11265-020-01571-w⟩

This paper presents a new methodology of the Real-Time monitoring (IRT-OPTICS) for the detection of defect in rolling bearing by combining three domain features (time, frequency and scale), and reducing dimension by two methods: Principal Component A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d8e34e958067d6843fbc913075a7f9e
https://hal.archives-ouvertes.fr/hal-03006481

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Intelligent Online Monitoring of Rolling Bearing: Diagnosis and Prognosis

Autor: Xavier Chiementin, Hassane Hotait, Lanto Rasolofondraibe

Publikováno v: Entropy
Entropy, MDPI, 2021, 23 (7), pp.791. ⟨10.3390/e23070791⟩
Entropy, Vol 23, Iss 791, p 791 (2021)
Volume 23
Issue 7

International audience; This paper suggests a new method to predict the Remaining Useful Life (RUL) of rolling bearings based on Long Short Term Memory (LSTM), in order to obtain the degradation condition of the rolling bearings and realize the predi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b57c0997e60cc77424578ead8d1e7868
https://hal.archives-ouvertes.fr/hal-03283326

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AOC-OPTICS: Automatic Online Classification for Condition Monitoring of Rolling Bearing

Autor: Lanto Rasolofondraibe, Hassane Hotait, Xavier Chiementin

Publikováno v: Processes, Vol 8, Iss 606, p 606 (2020)
Processes
Processes, MDPI, 2020, 8 (5), pp.606. ⟨10.3390/pr8050606⟩
Volume 8
Issue 5

Bearings are essential components in rotating machines. They ensure the rotation and power transmission. So, these components are essential elements for industrial machines. Thus, real-time monitoring is required to detect a possible anomaly, diagnos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbd87951a03e0bb5cda3ad46e0af325a
https://www.mdpi.com/2227-9717/8/5/606

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Optimization automating monitoring based on classification for rolling bearing

Autor: Xavier Chiementin, Lanto Rasolofondraibe, Hassane Hotait

Publikováno v: Vibroengineering PROCEDIA 31
Vibroengineering PROCEDIA 31, 2020, Dublin, Ireland. pp.15-20, ⟨10.21595/vp.2020.21315⟩

This work presents an automated and optimized methodology for detection and tracking real-time rolling bearings defects. It contains three sequential loops. The first loop is the initialization, as well as the constitution of a class called healthy.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea76dc1c66084cc5803fa0e690ef51be
https://hal.univ-reims.fr/hal-03101264

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