Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Leïla-Hayet Mouss"'
Publikováno v:
Revue des Énergies Renouvelables, Pp 47 – 57-47 – 57 (2024)
Due to the growing global demand for electricity energy, photovoltaic systems are becoming increasingly important as a continuous and environmentally friendly alternative. They ensure the continuity of electrical production in a healthy and sustainab
Externí odkaz:
https://doaj.org/article/f375fcc194b94fdab8062e839bc202a9
Publikováno v:
Aerospace, Vol 10, Iss 1, p 10 (2022)
Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing a
Externí odkaz:
https://doaj.org/article/c990e9d72d674a44916c43022d05549e
Publikováno v:
Entropy, Vol 24, Iss 7, p 1009 (2022)
The green conversion of proton exchange membrane fuel cells (PEMFCs) has received particular attention in both stationary and transportation applications. However, the poor durability of PEMFC represents a major problem that hampers its commercial ap
Externí odkaz:
https://doaj.org/article/95ea80808da34eeaa323f4e7e06e5421
Autor:
Tarek Berghout, Mohamed Benbouzid, Toufik Bentrcia, Xiandong Ma, Siniša Djurović, Leïla-Hayet Mouss
Publikováno v:
Energies, Vol 14, Iss 19, p 6316 (2021)
To ensure the continuity of electric power generation for photovoltaic systems, condition monitoring frameworks are subject to major enhancements. The continuous uniform delivery of electric power depends entirely on a well-designed condition mainten
Externí odkaz:
https://doaj.org/article/3218e447d5b443bb8b02614634f23f36
Publikováno v:
Energies, Vol 14, Iss 8, p 2163 (2021)
Since bearing deterioration patterns are difficult to collect from real, long lifetime scenarios, data-driven research has been directed towards recovering them by imposing accelerated life tests. Consequently, insufficiently recovered features due t
Externí odkaz:
https://doaj.org/article/94fa5a82386a48fb92d11ea2800d9437
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 1062 (2020)
The efficient data investigation for fast and accurate remaining useful life prediction of aircraft engines can be considered as a very important task for maintenance operations. In this context, the key issue is how an appropriate investigation can
Externí odkaz:
https://doaj.org/article/6a35e44fff6c4b40bdd52c887aebb4e8
Publikováno v:
Processes; Volume 10; Issue 3; Pages: 435
This paper proposes a new approach for remaining useful life prediction that combines a bond graph, the Gaussian Mixture Model and similarity techniques to allow the use of both physical knowledge and the data available. The proposed method is based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e3fc4f909e798039b062e5d9fc82701
https://doi.org/10.3390/pr10030435
https://doi.org/10.3390/pr10030435
Publikováno v:
IEEE Access, Vol 9, Pp 152829-152840 (2021)
Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states in real time provided that bot
Externí odkaz:
https://doaj.org/article/8a95c28b3d8741c397aacfeff34073e6