Multiple linear regression-based impact analysis of impedance network design on life expectancy of DC-link capacitor in q-ZSI fed motor drive
Sign Up to like & getrecommendations! Published in 2020 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2020.06.004
Abstract: Abstract Most literature works carrying out capacitor remaining useful life (RUL) prognosis in a three-phase inverter fed Adjustable Speed Drive (ASD) system focus on analyzing the effect of different environmental and operating conditions. But it… read more here.
Keywords: rul; capacitor; analysis; zsi ... See more keywords
Railway turnout system RUL prediction based on feature fusion and genetic programming
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107162
Abstract: Abstract The remaining useful life (RUL) prediction of railway turnout systems (RTS) is very important to avoid unplanned shutdowns and reduce labor costs for the normal operation of railways. One key challenge on RUL prediction… read more here.
Keywords: rul; feature fusion; railway turnout; rul prediction ... See more keywords
"Towards ZDM in Danobat, Using Prediction for Equipment RUL"
Sign Up to like & getrecommendations! Published in 2020 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2020.10.220
Abstract: Abstract Zero Defect Manufacturing (ZDM) is becoming one of the ways that EU can answer to the challenges of the digitization and globalization of industrial manufacturing. There is a growing demand for high quality products… read more here.
Keywords: towards zdm; rul; manufacturing; zdm danobat ... See more keywords
RUL prediction of electronic controller based on multiscale characteristic analysis
Sign Up to like & getrecommendations! Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.11.036
Abstract: Abstract The reliability of an electronic controller, which is usually determined by analysing its performance degradation under the working conditions and environmental stresses, has a significant impact on aircraft engine safety. In this paper, a… read more here.
Keywords: degradation; rul; electronic controller; controller ... See more keywords
A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes
Sign Up to like & getrecommendations! Published in 2021 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.107471
Abstract: Abstract The accurate estimate of the Remaining Useful Life (RUL) of mechanical tools is a fundamental problem in Engineering. This prediction often implies the knowledge and application of sophisticated mathematical methods based on fractal and… read more here.
Keywords: degradation; rul; useful life; model ... See more keywords
Direct Remaining Useful Life Estimation Based on Support Vector Regression
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2016.2623260
Abstract: Prognostics is a major activity in the field of prognostics and health management. It aims at increasing the reliability and safety of systems while reducing the maintenance cost by providing an estimate of the current… read more here.
Keywords: rul; vector regression; support vector; useful life ... See more keywords
A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2019.2947839
Abstract: Remaining useful life (RUL) prediction is extremely significant to ensure the safe and reliable operation for bearing suffering from the deterioration. The main focus of the RUL prediction is to accurately predict the future failure… read more here.
Keywords: rul; rul prediction; model based; dbn diffusion ... See more keywords
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3057030
Abstract: Machine remaining useful life (RUL) prediction is vital in improving the reliability of industrial systems and reducing maintenance cost. Recently, long short-term memory (LSTM) based algorithms have achieved state-of-the-art performance for RUL prediction due to… read more here.
Keywords: rul; rul prediction; prediction; knowledge distillation ... See more keywords
A Bayesian Deep Learning Framework for RUL Prediction Incorporating Uncertainty Quantification and Calibration
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3156965
Abstract: In this article, deep learning (DL) has attracted increasing attention for remaining useful life (RUL) prediction. However, most DL-based prognostics methods only provide deterministic RUL values while ignoring the associated epistemic and aleatoric uncertainties. In… read more here.
Keywords: calibration; deep learning; rul; rul prediction ... See more keywords
Remaining Useful Life Prediction of Machinery: A New Multiscale Temporal Convolutional Network Framework
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3200093
Abstract: With the rapid development of deep learning (DL) techniques, data-driven models have been increasingly used in remaining useful life (RUL) prediction, in which convolution neural network (CNN)-based RUL prognostics models have received special attention. However,… read more here.
Keywords: network; temporal convolutional; life; prediction ... See more keywords
Domain Adaptive Remaining Useful Life Prediction With Transformer
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3200667
Abstract: Prognostic health management (PHM) has become a crucial part in building highly automated systems, whose primary task is to precisely predict the remaining useful life (RUL) of the system. Recently, deep models including convolutional neural… read more here.
Keywords: useful life; remaining useful; domain adaptive; domain ... See more keywords