A Novel Image Feature for the Remaining Useful Lifetime Prediction of Bearings Based on Continuous Wavelet Transform and Convolutional Neural Network

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

(2018) Long Wen 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 Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network

(2018) Sheng Guo et al.   SENSORS

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

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

Bearing Fault Detection by One-Dimensional Convolutional Neural Networks

(2017) Levent Eren   MATHEMATICAL PROBLEMS IN ENGINEERING

Bearing performance degradation assessment based on time-frequency code features and SOM network

(2017) Yan Zhang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

(2017) Rui Zhao et al.   SENSORS

A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

(2016) Yu Wang et al.   IEEE Transactions on Industrial Informatics

A Model-Based Method for Remaining Useful Life Prediction of Machinery

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON RELIABILITY

Bearing remaining useful life estimation based on time–frequency representation and supervised dimensionality reduction

(2016) Minghang Zhao et al.   MEASUREMENT

Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics

(2015) Kamran Javed et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression

(2015) Abdenour Soualhi et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Degradation Feature Selection for Remaining Useful Life Prediction of Rolling Element Bearings

(2015) Bin Zhang et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method

(2014) Sheng Hong et al.   DIGITAL SIGNAL PROCESSING

Remaining useful life estimation based on nonlinear feature reduction and support vector regression

(2013) T. Benkedjouh et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression

(2013) Theodoros H. Loutas et al.   IEEE TRANSACTIONS ON RELIABILITY

A review on empirical mode decomposition in fault diagnosis of rotating machinery

(2012) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of ball bearings using continuous wavelet transform

(2010) P.K. Kankar et al.   APPLIED SOFT COMPUTING