Results 31 to 40 of about 20,775 (227)

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

, 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, Karimi Pour, Fatemeh, Puig Cayuela, Vicenç   +2 more
core   +2 more sources

Remaining useful life prediction for ball bearings based on health indicators [PDF]

MATEC Web of Conferences, 2019
Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches.
Al Masry Zeina, Schaible Patrick, Zerhouni Noureddine, Varnier Christophe   +3 more
doaj   +1 more source

A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes [PDF]

, 2017
Multi-State (MS) reliability models are used in practice to describe the evolution of degradation in industrial components and systems. To estimate the MS model parameters, we propose a method based on the Fuzzy Expectation-Maximization (FEM) algorithm ...
Cannarile, F., Compare, M., Rossi, Ester, Zio, E.   +3 more
core   +3 more sources

Remaining Useful Life Prediction of Nuclear Power Machinery Based on an Exponential Degradation Model

Science and Technology of Nuclear Installations, 2022
Aiming at solving the problems of small fault data samples and insufficient remaining useful life (RUL) prediction accuracy of nuclear power machinery, a method based on an exponential degradation model is proposed to predict the RUL of equipment after ...
Gaojun Liu, Weijie Fan, Fenglei Li, Gaixia Wang, Dongdong You   +4 more
doaj   +1 more source

Probabilistic Monte-Carlo method for modelling and prediction of electronics component life [PDF]

, 2014
Power electronics are widely used in electric vehicles, railway locomotive and new generation aircrafts. Reliability of these components directly affect the reliability and performance of these vehicular platforms.
Alghassi, Ali, Perinpanayagam, Suresh, Sreenuch, T., Xie, Ye   +3 more
core   +1 more source

Correction: Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model

PLOS ONE, 2021
[This corrects the article DOI: 10.1371/journal.pone.0236128.].
Awat Ghomghaleh, Reza Khaloukakaie, Mohammad Ataei, Abbas Barabadi, Ali Nouri Qarahasanlou, Omeid Rahmani, Amin Beiranvand Pour   +6 more
openaire   +3 more sources

Supporting group maintenance through prognostics-enhanced dynamic dependability prediction [PDF]

, 2017
Condition-based maintenance strategies adapt maintenance planning through the integration of online condition monitoring of assets. The accuracy and cost-effectiveness of these strategies can be improved by integrating prognostics predictions and ...
Aizpurua, J. I., Aizpurua, Jose Ignacio, Catterson, V. M., Catterson, Victoria, Chiacchio, F., Chiacchio, Ferdinando, D'Urso, D., D'Urso, Diego, Papadopoulos, Y., Papadopoulos, Yiannis   +9 more
core   +1 more source

Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model

PLOS ONE, 2020
Es una tarea esencial estimar la vida útil restante (RUL) de la maquinaria en el sector minero destinada a garantizar la producción y la satisfacción del cliente. En este estudio, se utilizó un marco conceptual para determinar el RUL bajo el análisis de confiabilidad en un modelo de fragilidad. El marco propuesto se implementó en una excavadora Komatsu
Awat Ghomghaleh, Reza Khaloukakaie, Mohammad Ataei, Abbas Barabadi, Ali Nouri Qarahasanlou, Omeid Rahmani, Amin Beiranvand Pour   +6 more
openaire   +4 more sources

Real-Time Remaining Useful Life Prediction of Cutting Tools Using Sparse Augmented Lagrangian Analysis and Gaussian Process Regression

Sensors, 2022
Remaining useful life (RUL) of cutting tools is concerned with cutting tool operational status prediction and damage prognosis. Most RUL prediction methods utilized different features collected from different sensors to predict the life of the tool.
Xiao Qin, Weizhi Huang, Xuefei Wang, Zezhi Tang, Zepeng Liu   +4 more
doaj   +1 more source

An Intelligent PHM System for Bearing Fault Phase Diagnosis and Multi-Phase RUL Prediction using Oil Debris Monitors [PDF]

, 2021
Several experimental studies have found that rolling element bearing's service life can be typically divided into three phases: normal operation, gradual degradation, and accelerated degradation.
Raj, Lourd Arun
core   +2 more sources