Results 51 to 60 of about 26,953 (213)

A Similarity-Based Prognostics Approach for Remaining Useful Life Prediction [PDF]

open access: yes, 2014
Physics-based and data-driven models are the two major prognostic approaches in the literature with their own advantages and disadvantages. This paper presents a similarity-based data-driven prognostic methodology and efficiency analysis study on ...
Camci, Faith   +2 more
core   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

open access: yesEnergy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom   +2 more
wiley   +1 more source

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

open access: yes, 2017
open4In 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.

core  

Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks

open access: yes, 2018
In industrial applications, nearly half the failures of motors are caused by the degradation of rolling element bearings (REBs). Therefore, accurately estimating the remaining useful life (RUL) for REBs are of crucial importance to ensure the reliability
Cheng, Cheng   +6 more
core   +1 more source

Remaining Useful Life (RUL) Control of Controlled Systems Under Degradation

open access: yesInternational Journal of Robust and Nonlinear Control
ABSTRACT Remaining Useful Life (RUL) is the length of time a component or system will operate before it requires repair or replacement. Although significant efforts have been made to estimate RUL accurately, controlling RUL remains challenging.
Mônica S. Félix   +2 more
openaire   +1 more source

Fostering Women's Political Leadership Through Government Accountability: Evidence From OECD Countries

open access: yesPublic Administration and Development, EarlyView.
ABSTRACT Women remain significantly underrepresented in political leadership worldwide. This study examines how different combinations of government accountability mechanisms enhance women's political representation (WPR) as a pathway to leadership in 30 OECD countries.
Samira Nazar, Seyed Ashkan Zarghami
wiley   +1 more source

A two-stage framework for cost-sensitive predictive maintenance using deep learning, GANs, and risk-aware clustering

open access: yesScientific Reports
Predictive maintenance (PdM) has seen significant advances through machine learning, yet its practical deployment remains challenged by data scarcity, system complexity, and uncertainty in cost-related decisions.
Ali Hakami
doaj   +1 more source

To Charge or to Sell? EV Pack Useful Life Estimation via LSTMs, CNNs, and Autoencoders

open access: yesEnergies, 2023
Electric vehicles (EVs) are spreading fast as they promise to provide better performance and comfort, but above all, to help face climate change. Despite their success, their cost is still a challenge.
Michael Bosello   +3 more
doaj   +1 more source

Prognostics: Design, Implementation, and Challenges [PDF]

open access: yes, 2015
Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle health management (IVHM) system that leads to improved ...
Skaf, Zakwan
core  

Features Selection Procedure for Prognostics: An Approach Based on Predictability

open access: yes, 2012
International audiencePrognostic aims at estimating the remaining useful life (RUL) of a degrading equipment, i.e at predicting the life time at which a component or a system will be unable to perform a desired function.
Gouriveau, Rafael   +3 more
core   +2 more sources

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