Remaining useful life estimation using deep metric transfer learning for kernel regression

A hybrid DBN-SOM-PF-based prognostic approach of remaining useful life for wind turbine gearbox

(2020) Yubin Pan et al.   RENEWABLE ENERGY

A dynamic structure-adaptive symbolic approach for slewing bearings’ life prediction under variable working conditions

(2020) Peng Ding et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Stationary subspaces-vector autoregressive with exogenous terms methodology for degradation trend estimation of rolling and slewing bearings

(2020) Peng Ding et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep Metric Learning: A Survey

(2019) Kaya et al.   Symmetry-Basel

Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning

(2019) Wentao Mao et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Estimation of Bearing Remaining Useful Life based on Multiscale Convolutional Neural Network

(2018) Jun Zhu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A hybrid ARIMA–SVM model for the study of the remaining useful life of aircraft engines

(2018) Celestino Ordóñez et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

Robust Discriminative Metric Learning for Image Representation

(2018) Zhengming Ding et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video

(2017) Zhiwu Huang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-bearing remaining useful life collaborative prediction: A deep learning approach

(2017) Lei Ren et al.   JOURNAL OF MANUFACTURING SYSTEMS

Hidden Markov model with auto-correlated observations for remaining useful life prediction and optimal maintenance policy

(2017) Zhen Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction of aircraft engine based on degradation pattern learning

(2017) Zeqi Zhao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis

(2017) Long Wen et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Enhanced Restricted Boltzmann Machine With Prognosability Regularization for Prognostics and Health Assessment

(2016) Linxia Liao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Degradations analysis and aging modeling for health assessment and prognostics of PEMFC

(2016) Marine Jouin et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Deep learning

(2015) Yann LeCun et al.   NATURE

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING