Results 31 to 40 of about 18,585 (221)

A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion

open access: yesSensors, 2021
The prognosis of the remaining useful life (RUL) of turbofan engine provides an important basis for predictive maintenance and remanufacturing, and plays a major role in reducing failure rate and maintenance costs. The main problem of traditional methods
Cheng Peng   +5 more
doaj   +1 more source

A review of physics-based models in prognostics: application to gears and bearings of rotating machinery [PDF]

open access: yes, 2016
Health condition monitoring for rotating machinery has been developed for many years due to its potential to reduce the cost of the maintenance operations and increase availability.
Cubillo, Adrian   +2 more
core   +2 more sources

Identifying Prognostic Indicators for Electrical Treeing in Solid Insulation through PD Analysis [PDF]

open access: yes, 2013
This paper presents early results from an experimental study of electrical treeing on commercially available pre-formed silicone samples. A needle-plane test arrangement was set up using hypodermic needles.
Binti Ab Aziz, Nur Hakimah   +2 more
core   +5 more sources

A Two-Stage Transfer Regression Convolutional Neural Network for Bearing Remaining Useful Life Prediction

open access: yesMachines, 2022
Recently, deep learning techniques have been successfully used for bearing remaining useful life (RUL) prediction. However, the degradation pattern of bearings can be much different from each other, which leads to the trained model usually not being able
Xianling Li   +4 more
doaj   +1 more source

Circuit breaker prognostics using SF6 data [PDF]

open access: yes, 2011
Control decisions within future energy networks may take account of the health and condition of network assets, pushing condition monitoring within the smart grid remit.
Catterson, Victoria   +3 more
core   +1 more source

Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner

open access: yesShock and Vibration, 2021
The remaining useful life (RUL) prediction of self-lubricating spherical plain bearings is essential for replacement decision-making and the reliability of high-end equipment. The high-frequency swing self-lubricating liner (HSLL) is the key component of
Xiuhong Hao   +3 more
doaj   +1 more source

Prediction of the Remaining Useful Life of Lithium-Ion Batteries Based on Dempster-Shafer Theory and the Support Vector Regression-Particle Filter

open access: yesIEEE Access, 2021
Lithium-ion batteries (LIBs) have been widely used in various electronic equipment. The development of an effective method for predicting the remaining useful life (RUL) of LIBs can ensure the normal operation of equipment by providing an appropriate ...
Hancheng Dong
doaj   +1 more source

The Remaining Useful Life Prediction by Using Electrochemical Model in the Particle Filter Framework for Lithium-Ion Batteries

open access: yesIEEE Access, 2020
The remaining useful life (RUL) prediction is critical for the safe and reliable operation of lithium-ion battery (LIB) systems, which characterizes the aging status of the battery and provides early warning for battery replacement.
Qianqian Liu   +3 more
doaj   +1 more source

Remaining useful life prediction of lithium-ion batteries using CEEMDAN and WOA-SVR model

open access: yesFrontiers in Energy Research, 2022
The remaining useful life (RUL) prediction of Lithium-ion batteries (LIBs) is a crucial element of battery health management. The accurate prediction of RUL enables the maintenance and replacement of batteries with potential safety hazards, which ensures
Xianmeng Meng   +5 more
doaj   +1 more source

Health-aware LPV-MPC based on a reliability-based remaining useful life assessment [PDF]

open access: yes, 2018
© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/One of the relevant information provided by the prognostics and health management algorithms is the estimation of the ...
Cembrano Gennari, Gabriela   +2 more
core   +2 more sources

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