Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …
which aims to predict the remaining useful life (RUL) of machinery based on condition …
Remaining useful life estimation–a review on the statistical data driven approaches
XS Si, W Wang, CH Hu, DH Zhou - European journal of operational …, 2011 - Elsevier
Remaining useful life (RUL) is the useful life left on an asset at a particular time of operation.
Its estimation is central to condition based maintenance and prognostics and health …
Its estimation is central to condition based maintenance and prognostics and health …
Remaining life prediction of lithium-ion batteries based on health management: A review
K Song, D Hu, Y Tong, X Yue - Journal of Energy Storage, 2023 - Elsevier
Lithium-ion battery remaining useful life (RUL) is an essential technology for battery
management, safety assurance and predictive maintenance, which has attracted the …
management, safety assurance and predictive maintenance, which has attracted the …
Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives
The wide application of lithium-ion batteries makes their lifecycle prognosis a challenging
and hot topic in the battery management research field. Feature extraction is a key step for …
and hot topic in the battery management research field. Feature extraction is a key step for …
A data-driven predictive prognostic model for lithium-ion batteries based on a deep learning algorithm
Prognostic and health management (PHM) can ensure that a lithium-ion battery is working
safely and reliably. The main approach of PHM evaluation of the battery is to determine the …
safely and reliably. The main approach of PHM evaluation of the battery is to determine the …
Artificial intelligence in prognostics and health management of engineering systems
Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …
management of engineering systems and structures, where sensor hardware and decision …
Cloud-enabled prognosis for manufacturing
Advanced manufacturing depends on the timely acquisition, distribution, and utilization of
information from machines and processes across spatial boundaries. These activities can …
information from machines and processes across spatial boundaries. These activities can …
A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation
Remaining useful life estimation (RUL) is an essential part in prognostics and health
management. This paper addresses the problem of estimating the RUL from the observed …
management. This paper addresses the problem of estimating the RUL from the observed …
Transfer learning with deep recurrent neural networks for remaining useful life estimation
Prognostics, such as remaining useful life (RUL) prediction, is a crucial task in condition-
based maintenance. A major challenge in data-driven prognostics is the difficulty of …
based maintenance. A major challenge in data-driven prognostics is the difficulty of …
Comprehensive review of battery state estimation strategies using machine learning for battery Management Systems of Aircraft Propulsion Batteries
The battery-powered propulsion system is introduced in the literature as a suitable solution
for the CO 2 emission challenge induced by aviation. However, because of design and …
for the CO 2 emission challenge induced by aviation. However, because of design and …