Results 41 to 50 of about 18,585 (221)

Remaining useful life prediction for lithium-ion battery by combining an improved particle filter with sliding-window gray model

open access: yesEnergy Reports, 2020
Dependable and accurate battery remaining useful life (RUL) prediction is essential for ensuring the safety and reliability of battery systems. To improve the dynamic traceability of the battery degradation process for RUL prediction under different ...
Lin Chen   +4 more
doaj   +1 more source

RUL prediction based on a new similarity-instance based approach.

open access: yes, 2014
International audiencePrognostics is a major activity of Condition-Based Maintenance (CBM) in many industrial domains where safety,reliability and cost reduction are of high importance. The main objective of prognostics is to provide an estimation of the
Khelif, Racha   +3 more
core   +2 more sources

Rethinking RUL Prediction

open access: yesAnnual Conference of the PHM Society
Prognostics and Health Management (PHM) plays a key role in predicting the Remaining Useful Life (RUL) of systems, which is essential for enabling decision-making for Predictive Maintenance (PdM) and operations. While most research has traditionally focused on improving the accuracy of RUL predictions, this paper argues that four essential ...
Salinas-Camus, Mariana   +2 more
openaire   +2 more sources

Remaining Useful Lifetime (RUL): Probabilistic Predictive Model

open access: yesInternational Journal of Prognostics and Health Management, 2021
Reliability evaluations and assurances cannot be delayed until the device (system) is fabricated and put into  operation. Reliability of an electronic product should be  conceived at the early stages of its design; implemented during manufacturing; evaluated (considering customer requirements and the existing specifications), by  electrical, optical ...
openaire   +3 more sources

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

open access: yesAdvanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez   +4 more
wiley   +1 more source

A Data-Driven Fuzzy Approach for Predicting the Remaining Useful Life in Dynamic Failure Scenarios of a Nuclear Power Plant [PDF]

open access: yes, 2010
This paper presents a similarity-based approach for prognostics of the Remaining Useful Life (RUL) of a system, i.e. the lifetime remaining between the present and the instance when the system can no longer perform its function. Data from failure dynamic
Di Maio, F., Zio, Enrico
core   +3 more sources

Histidine Supplementation Stabilizes Hearing and Vision and Improves Growth in HARS1‐Related Autosomal Recessive Disorder Associated With Usher‐Like Symptoms

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Autosomal recessive HARS1‐related disorder (originally described as Usher syndrome type 3B) caused by a homozygous Y454S variant in the histidyl‐tRNA synthetase gene (HARS1) is characterized by progressive sensorineural hearing and vision loss and respiratory deterioration with risk for sudden death following febrile illnesses.
Victoria Mok Siu   +23 more
wiley   +1 more source

Green Innovation and Firm Efficiency: The Role of Institutional Quality in Italian High‐Tech Manufacturing Sectors

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The aim of this research is to verify whether institutional quality affects the relationship between green innovation and firm efficiency within the high‐tech manufacturing sectors. To estimate jointly the parameters of a stochastic frontier and the coefficients of a model explaining technical inefficiency, we employed the one‐step estimation ...
Mariarosaria Agostino   +2 more
wiley   +1 more source

Remaining Useful Life Prediction for Rolling Bearings Based on TCN–Transformer Networks Using Vibration Signals

open access: yesSensors
Remaining useful life (RUL) prediction plays a core role in industrial prognostics and health management (PHM), requiring data-driven models with higher predictive capability for accurate long time series prediction.
Xiaochao Jin   +6 more
doaj   +1 more source

Unsupervised Kernel Regression Modeling Approach for RUL Prediction. [PDF]

open access: yes, 2014
International audienceRecently, Prognostics and Health Management (PHM) has gained attention from the industrial world since it aims at increasing safety and reliability while reducing the maintenance cost by providing a useful prediction about the ...
Khelif, Racha   +3 more
core   +1 more source

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