Remaining useful life prediction of rolling bearing under limited data based on adaptive time-series feature window and multi-step ahead strategy

Time-Varying Degradation Model for Remaining Useful Life Prediction of Rolling Bearings under Variable Rotational Speed

(2022) Wenliao Du et al.   Applied Sciences-Basel

Two‐stage degradation modeling for remaining useful life prediction based on the Wiener process with measurement errors

(2022) Qingluan Guan et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Convolution neural network based particle filtering for remaining useful life prediction of rolling bearing

(2022) Xiyang Liu et al.   Advances in Mechanical Engineering

RUL prediction of rolling bearings based on improved empirical wavelet transform and convolutional neural network

(2022) Wenbo Wang et al.   Advances in Mechanical Engineering

Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism

(2022) Xiangbing Zhou et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

An improved deep convolution neural network for predicting the remaining useful life of rolling bearings

(2021) Yiming Guo et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

(2021) Omar AlShorman et al.   Advances in Mechanical Engineering

Remain useful life prediction of rolling bearings based on exponential model optimized by gradient method

(2021) Gang Wang et al.   MEASUREMENT

A novel mathematical morphology spectrum entropy based on scale-adaptive techniques

(2021) Rui Yao et al.   ISA TRANSACTIONS

Multiscale attentional residual neural network framework for remaining useful life prediction of bearings

(2021) Wen Yu et al.   MEASUREMENT

Wiener-based remaining useful life prediction of rolling bearings using improved Kalman filtering and adaptive modification

(2021) Yuxiong Li et al.   MEASUREMENT

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

(2021) Yifei Ding et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model

(2021) Xuanyuan Su et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Remaining useful life prediction of bearing based on stacked autoencoder and recurrent neural network

(2021) Tian Han et al.   JOURNAL OF MANUFACTURING SYSTEMS

VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing

(2021) Anil Kumar et al.   MEASUREMENT SCIENCE and TECHNOLOGY

An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability

(2021) Shujie Liu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

RUL Prediction of Rolling Bearings Based on a DCAE and CNN

(2021) Chenyang Wang et al.   Applied Sciences-Basel

Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method

(2021) Tao Hu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction of rolling bearing using fractal theory

(2020) Zong Meng et al.   MEASUREMENT

Long short-term memory network with multi-resolution singular value decomposition for prediction of bearing performance degradation

(2020) Mengfu He et al.   MEASUREMENT

A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions

(2020) Jun Zhu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2020) Lang Xu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Reliable Prognosis Approach for Degradation Evaluation of Rolling Bearing Using MCLSTM

(2020) Gangjin Huang et al.   SENSORS

A tool wear monitoring and prediction system based on multiscale deep learning models and fog computing

(2020) Huihui Qiao et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Data alignments in machinery remaining useful life prediction using deep adversarial neural networks

(2020) Xiang Li et al.   KNOWLEDGE-BASED SYSTEMS

A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings

(2020) Zuozhou Pan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Prediction of performance deterioration of rolling bearing based on JADE and PSO-SVM

(2020) Tao Zan et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors

(2020) Han Cheng et al.   MEASUREMENT

A hybrid prognostics approach for estimating remaining useful life of wind turbine bearings

(2020) Ping Wang et al.   Energy Reports

Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear Regression

(2019) Gao et al.   Electronics

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

A New Deep Transfer Learning Method for Bearing Fault Diagnosis Under Different Working Conditions

(2019) Jun Zhu et al.   IEEE SENSORS JOURNAL

Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter

(2019) Lingli Cui et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

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

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

A review on data-driven fault severity assessment in rolling bearings

(2018) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

(2018) Biao Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

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

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

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

A summary of fault modelling and predictive health monitoring of rolling element bearings

(2015) Idriss El-Thalji et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life prediction of rolling element bearings based on health state assessment

(2015) Zhiliang Liu et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

(2015) Dawn An et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Dynamic modelling of wear evolution in rolling bearings

(2015) Idriss El-Thalji et al.   TRIBOLOGY INTERNATIONAL

Reliability estimation and remaining useful lifetime prediction for bearing based on proportional hazard model

(2015) Lu Wang et al.   Journal of Central South University

Discovering Prognostic Features Using Genetic Programming in Remaining Useful Life Prediction

(2013) Linxia Liao   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Residual fatigue life prediction of ball bearings based on Paris law and RMS

(2012) Dong Xu et al.   Chinese Journal of Mechanical Engineering

Combining Relevance Vector Machines and exponential regression for bearing residual life estimation

(2012) Francesco Di Maio et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life

(2012) Chao Hu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life estimation – A review on the statistical data driven approaches

(2010) Xiao-Sheng Si et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systems

(2009) Van Tung Tran et al.   EXPERT SYSTEMS WITH APPLICATIONS

A neural network approach for remaining useful life prediction utilizing both failure and suspension histories

(2009) Zhigang Tian et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING