Results 11 to 20 of about 3,281,484 (268)
Integration of Expert Judgment into Remaining Useful Lifetime Prediction of Components [PDF]
Procedia CIRP, 2014 AbstractAccurate estimates of renewal instances are necessary to avoid both machine breakdowns as well as unnecessary replacements. These instances are based upon a prognosis of the remaining useful lifetime of the components investigated but their usability is limited because of insufficient failure time data.
Kirsten Tracht, Hendrik Stern
exaly +3 more sources
Machine learning- assisted remaining useful lifetime prediction of power electronic converters [PDF]
Scientific ReportsThis paper presents a methodology for the remaining useful life (RUL) prediction in power electronic converters based on the health monitoring of semiconductor devices and DC capacitor(s).
Hussain Sayed, Harish S. Krishnamoorthy
doaj +2 more sources
Online Remaining Useful Lifetime Prediction Using Support Vector Regression [PDF]
IEEE Transactions on Emerging Topics in Computing, 2022 An accurate prediction of remaining useful lifetime (RUL) in high reliability and safety electronic systems is required due to its wide use in industrial applications. In this paper, we propose a novel methodology for online RUL prediction, using support vector regression (SVR) model.
Antonio Leonel Hernández Martínez +3 more
core +6 more sources
Intelligent Systems with Applications, 2021 We propose a novel sequence-to-sequence prediction approach for the estimation of the remaining useful lifetime (RUL) of technical components. The approach is based on deep recurrent neural network structures, namely bidirectional Long Short Term Memory (
Sayed Rafay Bin Shah +3 more
doaj +3 more sources
A New Method of Remaining Useful Lifetime Estimation for a Degradation Process with Random Jumps [PDF]
SensorsWith the deepening of degradation, the stability and reliability of the degrading system usually becomes poor, which may lead to random jumps occurring in the degradation path.
Yue Zhuo +4 more
doaj +2 more sources
Remaining Useful Lifetime Prediction of Discrete Power Devices by Means of Artificial Neural Networks [PDF]
IEEE Open Journal of Power Electronics, 2023 This work proposes a deep learning-based model for predicting the lifetime of power devices subjected to power cycling. To this purpose, a neural network based on bidirectional long short-term memory is adopted.
Alessandro Vaccaro +2 more
doaj +3 more sources
Applied Sciences, 2023 This research work implements an initial methodology for the assessment of Battery Energy Storage Systems (BESSs) based on Remaining Useful Lifetime (RUL), and its main contribution is the modeling and estimation of Health and Charge indicators through ...
Rolando Gilbert Zequera +4 more
doaj +2 more sources
Remaining Useful Lifetime (RUL) - Probabilistic Predictive Model [PDF]
International Journal of Prognostics and Health Management, 2011 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 ...
Ephraim Suhir
doaj +1 more source
Applied Sciences, 2023 Remaining useful lifetime (RUL) predictions of electric motors are of vital importance in the maintenance and reduction of repair costs. Thanks to technological advances associated with Industry 4.0, physical models used for prediction and prognostics ...
Luis Magadán +4 more
doaj +3 more sources
Prognostics for electronics components of avionics - NASA IGBT accelerated ageing case study [PDF]
, 2013 Insulate gate bipolar transistors (IGBTs) are widely used in electric vehicles, railway locomotive and new generation aircrafts, due to the IGBTs have advantages in small conduction resistance and small drive current.
Xie, Yuan'an
core +7 more sources