Health indicator construction by quadratic function-based deep convolutional auto-encoder and its application into bearing RUL prediction

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

Sparse auto-encoder with regularization method for health indicator construction and remaining useful life prediction of rolling bearing

(2020) Daoming She et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei 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

LSTM networks based on attention ordered neurons for gear remaining life prediction

(2020) Sheng Xiang et al.   ISA TRANSACTIONS

A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning

(2020) Kun Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining Useful Life Prediction Using a Novel Feature-Attention-Based End-to-End Approach

(2020) Hui Liu et al.   IEEE Transactions on Industrial Informatics

Gated Dual Attention Unit Neural Networks for Remaining Useful Life Prediction of Rolling Bearings

(2020) Yi Qin et al.   IEEE Transactions on Industrial Informatics

Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process

(2019) Jinglong Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion

(2019) Yubin Pan et al.   MECHANISM AND MACHINE THEORY

Degradation feature extraction using multi-source monitoring data via logarithmic normal distribution based variational auto-encoder

(2019) Gen Ping et al.   COMPUTERS IN INDUSTRY

A method for constructing rolling bearing lifetime health indicator based on multi-scale convolutional neural networks

(2019) Chunzhi Wu et al.   Journal of the Brazilian Society of Mechanical Sciences and Engineering

Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks

(2019) Longting Chen et al.   JOURNAL OF MANUFACTURING SYSTEMS

A fault dynamic model of high-speed angular contact ball bearings

(2019) Yi Qin et al.   MECHANISM AND MACHINE THEORY

Macroscopic–Microscopic Attention in LSTM Networks Based on Fusion Features for Gear Remaining Life Prediction

(2019) Yi Qin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2018) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An unsupervised feature extraction method for nonlinear deterioration process of complex equipment under multi dimensional no-label signals

(2018) Gaige Chen et al.   SENSORS AND ACTUATORS A-PHYSICAL

An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder

(2018) Changqing Shen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

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

Remaining life prognostics of rolling bearing based on relative features and multivariable support vector machine

(2013) Xuefeng Chen et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE