Zobrazeno 1 - 10
of 1 588
pro vyhledávání: '"Remaining useful life (RUL)"'
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 11, Pp 5272-5286 (2024)
ABSTRACT Accurately predict the remaining useful life (RUL) of lithium‐ion batteries for energy storage is of critical significance to ensure the safety and reliability of electric vehicles, which can offer efficient early warning signals in a time
Externí odkaz:
https://doaj.org/article/494f27a793294a9e9c854ead4a62a7fa
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 10, Pp 1575-1584 (2024)
Micro direct methanol fuel cell (μDMFC) has the advantages of high energy density, portable use, fast replenishment, and eco-friendliness. However, the practical service life of μDMFC is often limited due to the deterioration of membrane electrode
Externí odkaz:
https://doaj.org/article/546c3c161d1f441a8bd6c57a6203f432
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Ensuring operational integrity in large-scale equipment hinges on effective fault prediction and health management. Prognostics and health management (PHM) face the challenge of accurately predicting remaining useful life (RUL) using multiva
Externí odkaz:
https://doaj.org/article/33c943bfdfa44e468f2b692653430d19
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102921- (2024)
Accurate predictions for remaining useful life (RUL) of wind turbine drivetrains are crucial in reducing downtime, optimising maintenance strategies, extending operational life and improving costs. The purpose of this study is to present a method whi
Externí odkaz:
https://doaj.org/article/22d3f6fd6848476392caa8cc45631d40
Publikováno v:
Vibration, Vol 7, Iss 2, Pp 560-581 (2024)
Precise prediction of the remaining useful life (RUL) of rolling bearings is crucial for ensuring the smooth functioning of machinery and minimizing maintenance costs. The time-domain features can reflect the degenerative state of the bearings and re
Externí odkaz:
https://doaj.org/article/cf553e3d7dda4261b02fa22b5b46a531
Publikováno v:
Electronic Research Archive, Vol 32, Iss 5, Pp 3145-3161 (2024)
In order to grasp the degradation of rolling bearings and prevent the failure of mechanical equipment, a remaining useful life (RUL) prediction method of rolling bearings based on degradation detection and deep bidirectional long short-term memory ne
Externí odkaz:
https://doaj.org/article/1f6caf50734e46e2adcbe891ef476069
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100405- (2024)
The state of health (SOH) and remaining useful life (RUL) of lithium-ion batteries are crucial for health management and diagnosis. However, most data-driven estimation methods heavily rely on scarce labeled data, while traditional transfer learning
Externí odkaz:
https://doaj.org/article/f33dca84d5704b50b31b991c8eb0610e
Autor:
Nistane, Vinod
Publikováno v:
World Journal of Engineering, 2022, Vol. 21, Issue 1, pp. 170-185.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WJE-06-2022-0244
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 3, Pp 352-360 (2024)
The health condition of hoisting gearbox bearings of quay cranes is of great importance for the safety of port production. A remaining useful life (RUL) predicting framework for lifting gearbox bearings of quay crane under time-varying operating cond
Externí odkaz:
https://doaj.org/article/8ab30894df90474ea8774fc6eff2b41e
Autor:
Debabrata Swain, Manish Kumar, Amro Nour, Kevin Patel, Ayush Bhatt, Biswaranjan Acharya, Ali Bostani
Publikováno v:
IEEE Access, Vol 12, Pp 134418-134426 (2024)
The swift advancement of electric vehicle (EV) technology enhances the focus on sustainable energy storage and underscores the crucial significance of lithium-ion batteries. This research primarily presents the techniques of forecasting the Remaining
Externí odkaz:
https://doaj.org/article/7bd59b43587241d4b19b4be65a3ffad1