相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A dynamic structure-adaptive symbolic approach for slewing bearings' life prediction under variable working conditions
Peng Ding et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (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)
Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning
Wentao Mao et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
A hybrid DBN-SOM-PF-based prognostic approach of remaining useful life for wind turbine gearbox
Yubin Pan et al.
RENEWABLE ENERGY (2020)
Hidden Markov model with auto-correlated observations for remaining useful life prediction and optimal maintenance policy
Zhen Chen et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
Long Wen et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2019)
Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network
Jun Zhu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing
Chuang Sun et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Deep Metric Learning: A Survey
Mahmut Kaya et al.
SYMMETRY-BASEL (2019)
Robust Discriminative Metric Learning for Image Representation
Zhengming Ding et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2019)
A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines
Celestino Ordonez et al.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2019)
Statistical distributions comparison for remaining useful life prediction of components via ANN
Mohammad Ali Farsi et al.
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT (2019)
Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video
Zhiwu Huang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Remaining useful life estimation in prognostics using deep convolution neural networks
Xiang Li et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)
Multi-bearing remaining useful life collaborative prediction: A deep learning approach
Lei Ren et al.
JOURNAL OF MANUFACTURING SYSTEMS (2017)
Remaining useful life prediction of aircraft engine based on degradation pattern learning
Zeqi Zhao et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)
Enhanced Restricted Boltzmann Machine With Prognosability Regularization for Prognostics and Health Assessment
Linxia Liao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
Degradations analysis and aging modeling for health assessment and prognostics of PEMFC
Marine Jouin et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2016)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)