Results 111 to 120 of about 9,526,985 (202)

Stage-Based Remaining Useful Life Prediction for Bearings Using GNN and Correlation-Driven Feature Extraction

open access: yesMachines
Bearings are critical components in mechanical systems, and their degradation process typically exhibits distinct stages, making stage-based remaining useful life (RUL) prediction highly valuable.
Guangzhong Huang   +5 more
doaj   +1 more source

A switching ensemble approach for remaining useful life estimation of electrolytic capacitors [PDF]

open access: yes, 2017
In this work, we consider the problem of predicting an equipment Remaining Useful Life (RUL), based on data from a fleet of similar components working under different operating conditions (Al-Dahidi et al. 2015)
BARALDI, PIERO   +3 more
core  

Hybrid Neural Networks for Enhanced Predictions of Remaining Useful Life in Lithium-Ion Batteries

open access: yesBatteries
With the proliferation of electric vehicles (EVs) and the consequential increase in EV battery circulation, the need for accurate assessments of battery health and remaining useful life (RUL) is paramount, driven by environmentally friendly and ...
Alireza Rastegarparnah   +2 more
doaj   +1 more source

Prediction of Mining Railcar Remaining Useful Life

open access: yes, 2019
Railcar or Rolling stock that is referring to all vehicles moving on railway, is one of the most important component of the rail transport system.
Behzad Ghodrati   +5 more
core   +1 more source

A Hybrid Genetic Algorithm–Particle Filter for Fatigue Crack Propagation Prediction

open access: yesApplied Sciences
Fatigue crack propagation prediction plays a critical role in structural health monitoring and remaining useful life (RUL) assessment of engineering structures. However, conventional particle filter (PF) algorithms may suffer from particle impoverishment
Mei Li   +4 more
doaj   +1 more source

Remaining Useful Life (RUL) Estimation for Lithium-Ion Battery Using Extreme Learning Machine

open access: yesInternational Journal of Environmental Sciences
Study proposes a new method for predicting the remaining useful life (RUL) of lithium-ion batteries using the Extreme Learning Machine (ELM) algorithm by employing advanced feature extraction techniques to identify critical parameters influencing battery degradation.
Vimal Singh Bisht   +6 more
openaire   +1 more source

A Data-Driven Neural Network Approach for Remaining Useful Life Prediction

open access: yes, 2010
This paper proposed a neural network (NN) based remaining useful life (RUL) prediction approach. A new performance degradation index is designed using multi-feature fusion techniques to represent deterioration severities of facilities.
De Bin Zhao   +3 more
core   +1 more source

Remaining Useful Life Prediction of Fracturing Truck Valve Bodies Based on the CB2-RUL Algorithm

open access: yesComputation
The triplex reciprocating drilling pump is a critical piece of equipment in drilling platforms, and the operational condition of its core component—the valve body—directly affects the pump’s performance and the stability of the entire system. Therefore, accurate prediction of the valve body’s Remaining Useful Life (RUL) is of great significance for ...
Xinyue Chen   +5 more
openaire   +2 more sources

Remaining useful life estimation of mining equipment [Elektronisk resurs] : A case study

open access: yes, 2012
To ensure the production/output and customer satisfaction in mining sector the estimation of Remaining Useful Life of mining machineries is a prime. In this paper we used the reliability analysis in order to estimate an optimal mining equipment repair ...
Ahmadzadeh, Farzaneh,   +2 more
core  

基于无迹卡尔曼滤波的直升机主减速器剩余安全寿命预测

open access: yesJixie chuandong, 2014
An efficient remaining useful life(RUL)can provide key information for manager to make preventive maintenance strategy and prevent equipment unexpected downtime.Aim to nonlinear state process of equipment and real-time demand of life prediction in ...
林国语, 贾云献, 孙磊
doaj  

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