A remaining useful life prediction method for bearing based on deep neural networks

A review of prognostics and health management of machine tools

(2020) Marco Baur et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Remaining Life Prediction Method for Rolling Bearing Based on the Long Short-Term Memory Network

(2019) Fengtao Wang et al.   NEURAL PROCESSING LETTERS

Weibull accelerated failure time regression model for remaining useful life prediction of bearing working under multiple operating conditions

(2019) Pradeep Kundu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on the application of deep learning in system health management

(2018) Samir Khan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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 Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities

(2018) Chiou-Jye Huang et al.   SENSORS

Development of a Fault Monitoring Technique for Wind Turbines Using a Hidden Markov Model

(2018) Sung-Hwan Shin et al.   SENSORS

Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components

(2018) Jason Deutsch et al.   IEEE Transactions on Systems Man Cybernetics-Systems

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

(2018) Youngji Yoo et al.   Applied Sciences-Basel

Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network

(2018) Lei Ren et al.   IEEE Access

A Time-Distributed Spatiotemporal Feature Learning Method for Machine Health Monitoring with Multi-Sensor Time Series

(2018) Huihui Qiao et al.   SENSORS

A multi-time scale approach to remaining useful life prediction in rolling bearing

(2017) Yuning Qian et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2017) Liang Guo et al.   NEUROCOMPUTING

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

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

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

(2017) Rui Zhao et al.   SENSORS

Deep learning for short-term traffic flow prediction

(2017) Nicholas G. Polson et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Remaining Useful Life Prediction of Hybrid Ceramic Bearings Using an Integrated Deep Learning and Particle Filter Approach

(2017) Jason Deutsch et al.   Applied Sciences-Basel

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

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

Particle filter-based prognostics: Review, discussion and perspectives

(2016) Marine Jouin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life estimation using an inverse Gaussian degradation model

(2016) Donghui Pan et al.   NEUROCOMPUTING

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

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

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

(2015) Naipeng Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep learning

(2015) Yann LeCun et al.   NATURE

Degradation Prediction Model Based on a Neural Network with Dynamic Windows

(2015) Xinghui Zhang et al.   SENSORS

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

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

Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?

(2013) N. Kruger et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

(2013) Jay Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance

(2011) Jianzhong Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Gaussian Mixture Model-Based Continuous Boundary Detection for 3D Sensor Networks

(2010) Jiehui Chen et al.   SENSORS

An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring

(2009) Zhigang Tian   JOURNAL OF INTELLIGENT MANUFACTURING

Physics-of-failure-based prognostics for electronic products

(2009) Michael Pecht et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL