Results 1 to 10 of about 12,442 (147)
Remaining useful lifetime estimation for discrete power electronic devices using physics-informed neural network. [PDF]
Sci Rep, 2023 Estimation of Remaining Useful Lifetime (RUL) of discrete power electronics is important to enable predictive maintenance and ensure system safety. Conventional data-driven approaches using neural networks have been applied to address this challenge ...
Lu Z, Guo C, Liu M, Shi R.
europepmc +4 more sources
Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation
IEEE Access, 2022 This paper proposes a novel deep learning architecture for estimating the remaining useful lifetime (RUL) of industrial components, which solely relies on the recently developed transformer architectures.
Andreas Schwung +2 more
exaly +6 more sources
A New Method of Remaining Useful Lifetime Estimation for a Degradation Process with Random Jumps. [PDF]
Sensors (Basel)With 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.
Zhuo Y, Feng L, Zhang J, Si X, Zhang Z.
europepmc +4 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 (
Andreas Schwung +2 more
exaly +6 more sources
CONFORMAL PREDICTION INTERVALS FOR REMAINING USEFUL LIFETIME ESTIMATION
International Journal of Prognostics and Health Management, 2023 The main objective of Prognostics and Health Management is to estimate the Remaining Useful Lifetime (RUL), namely, the time that a system or a piece of equipment is still in working order before starting to function incorrectly.
Alireza Javanmardi , Eyke Hullermeier
doaj +5 more sources
RMS Based Health Indicators for Remaining Useful Lifetime Estimation of Bearings [PDF]
Modeling, Identification and Control, 2022 Estimating the remaining useful life (RUL) of bearings from healthy to faulty is important for predictive maintenance. The bearing fault severity can be estimated based on the energy or root mean square (RMS) of vibration signals, and a stopping ...
Andreas Klausen +2 more
doaj +3 more sources
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
International Journal of Prognostics and Health Management, 2022 RUL estimation plays a vital role in effectively scheduling maintenance operations. Unfortunately, it suffers from a severe data imbalance where data from machines near their end of life is rare.
Tilman Krokotsch +2 more
doaj +4 more sources
Power Electronic Devices and Components, 2023 Reliability of power electronic components is essential to functionality and safety. In this paper, a data-driven method is presented to estimate the remaining useful lifetime of solder joints used in power modules of electric bikes.
Mike Roellig, Darshankumar Bhat
exaly +3 more sources
Remaining Vehicles Useful Lifetime Estimation Based on Operation Conditions Measurement
Procedia Engineering, 2017 Abstract The article describes a prognostic approach to estimating the remaining useful lifetime of cars and trucks based on the known monitoring data. The algorithm for the calculation of remaining useful lifetime uses the information about the technical state of the vehicles obtained from sensors of onboard measuring system.
V.A. Kalmakov +2 more
exaly +2 more sources
Deterioration estimation for remaining useful lifetime prognosis in a friction drive system
IFAC-PapersOnLine, 2017 Abstract This paper presents a method for on-line estimation of contact surfaces deterioration in a friction drive system. It is based on a recent developed linear parameter-varying model which includes both the mechanical device and the actuator deterioration dynamics in the same framework.
Christophe Bérenguer
exaly +2 more sources