Related references
Note: Only part of the references are listed.Implementing transfer learning across different datasets for time series forecasting
Rui Ye et al.
PATTERN RECOGNITION (2021)
A dual-LSTM framework combining change point detection and remaining useful life prediction
Zunya Shi et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)
Stationary subspaces-vector autoregressive with exogenous terms methodology for degradation trend estimation of rolling and slewing bearings
Peng Ding et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model
Mingming Yan et al.
ISA TRANSACTIONS (2020)
Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing
Shao Haidong et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Remaining useful lifetime prediction via deep domain adaptation
Paulo Roberto de Oliveira da Costa et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions
Jun Zhu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
A new method for the estimation of bearing health state and remaining useful life based on the moving average cross-correlation of power spectral density
Lang Xu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data
Cheng Cheng et al.
NEUROCOMPUTING (2020)
LSTM networks based on attention ordered neurons for gear remaining life prediction
Sheng Xiang et al.
ISA TRANSACTIONS (2020)
An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme
Wennian Yu et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
Transfer learning for remaining useful life prediction based on consensus self-organizing models
Yuantao Fan et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
A systematic review of deep transfer learning for machinery fault diagnosis
Chuan Li et al.
NEUROCOMPUTING (2020)
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models
Wasim Ahmad et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing
Lingli Cui et al.
MEASUREMENT (2019)
Bearing performance degradation assessment using long short-term memory recurrent network
Bin Zhang et al.
COMPUTERS IN INDUSTRY (2019)
Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process
Chen Jinglong et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme
Wennian Yu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Adaptive relevant vector machine based RUL prediction under uncertain conditions
Xiuli Wang et al.
ISA TRANSACTIONS (2019)
Advanced bearing diagnostics: A comparative study of two powerful approaches
D. Abboud et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
A statistical methodology for the design of condition indicators
Jerome Antoni et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithm
Yuchen Song et al.
CHINESE JOURNAL OF AERONAUTICS (2018)
Bearing remaining useful life prediction based on deep autoencoder and deep neural networks
Lei Ren et al.
JOURNAL OF MANUFACTURING SYSTEMS (2018)
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Enhanced Restricted Boltzmann Machine With Prognosability Regularization for Prognostics and Health Assessment
Linxia Liao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks
Baoping Cai et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Remaining useful life estimation for mechanical systems based on similarity of phase space trajectory
Qing Zhang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
A Classification Framework for Predicting Components' Remaining Useful Life Based on Discrete-Event Diagnostic Data
Olga Fink et al.
IEEE TRANSACTIONS ON RELIABILITY (2015)
Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability
P. J. Garcia Nieto et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)
Domain Adaptation via Transfer Component Analysis
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)