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

Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion

(2020) Fan Xu et al.   APPLIED SOFT COMPUTING

Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction

(2020) Sheng Xiang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Remaining useful life prediction of rolling bearing using fractal theory

(2020) Zong Meng 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 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

A novel convolutional transfer feature discrimination network for imbalanced fault diagnosis under variable rotational speed

(2019) Kun Xu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A novel deep learning method based on attention mechanism for bearing remaining useful life prediction

(2019) Yuanhang Chen et al.   APPLIED SOFT COMPUTING

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

(2019) Boyuan Yang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep separable convolutional network for remaining useful life prediction of machinery

(2019) Biao Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Review of Domain Adaptation without Target Labels

(2019) Wouter M. Kouw et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models

(2018) Wasim Ahmad 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

A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models

(2018) Wasim Ahmad et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation

(2018) Ansi Zhang et al.   Applied Sciences-Basel

Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction

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

Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction

(2018) Lei Ren et al.   Future Generation Computer Systems-The International Journal of eScience

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

Multi-Layer domain adaptation method for rolling bearing fault diagnosis

(2018) Xiang Li et al.   SIGNAL PROCESSING

Multiple failure behaviors identification and remaining useful life prediction of ball bearings

(2017) Pradeep Kundu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

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

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

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

A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery

(2016) Adrian Cubillo et al.   Advances in Mechanical Engineering

Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics

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

Extended Kalman Filtering for Remaining-Useful-Life Estimation of Bearings

(2015) Rodney K. Singleton 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

A Classification Framework for Predicting Components' Remaining Useful Life Based on Discrete-Event Diagnostic Data

(2015) Olga Fink et al.   IEEE TRANSACTIONS ON RELIABILITY

A novel approach for bearing remaining useful life estimation under neither failure nor suspension histories condition

(2015) Lei Xiao et al.   JOURNAL OF INTELLIGENT MANUFACTURING

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

(2014) Sheng Hong et al.   DIGITAL SIGNAL PROCESSING

Bearing Degradation Evaluation Using Recurrence Quantification Analysis and Kalman Filter

(2014) Yuning Qian et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Reliability Model of Mechanical Components with Dependent Failure Modes

(2013) Shijie Wang   MATHEMATICAL PROBLEMS IN ENGINEERING

Bearing degradation process prediction based on the PCA and optimized LS-SVM model

(2013) Shaojiang Dong et al.   MEASUREMENT

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

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

Reliability prediction of engineering systems with competing failure modes due to component degradation

(2011) Young Kap Son   Journal of Mechanical Science and Technology

A Survey on Transfer Learning

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