A novel multi-scale convolution model based on multi-dilation rates and multi-attention mechanism for mechanical fault diagnosis

A fault diagnosis method based on one-dimensional data enhancement and convolutional neural network

(2021) Yunyao Long et al.   MEASUREMENT

Light neural network with fewer parameters based on CNN for fault diagnosis of rotating machinery

(2021) Tongtong Jin et al.   MEASUREMENT

A new deep transfer learning network based on convolutional auto-encoder for mechanical fault diagnosis

(2021) Quan Qian et al.   MEASUREMENT

Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine

(2021) Zhiyi He et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing fault diagnosis base on multi-scale CNN and LSTM model

(2020) Xiaohan Chen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Multisensor bearing fault diagnosis based on one-dimensional convolutional long short-term memory networks

(2020) Shijie Hao et al.   MEASUREMENT

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

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

An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

(2019) Wenyi Huang et al.   NEUROCOMPUTING

A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions

(2019) Cheng-Geng Huang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions

(2019) Ruonan Liu et al.   IEEE Transactions on Industrial Informatics

Online Fault Diagnosis in Industrial Processes Using Multimodel Exponential Discriminant Analysis Algorithm

(2018) Wanke Yu et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

(2018) Guoqian Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

(2018) Rui Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis

(2018) Wanke Yu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Dynamic distributed monitoring strategy for large-scale nonstationary processes subject to frequently varying conditions under closed-loop control

(2018) Chunhui Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of wind turbine based on Long Short-term memory networks

(2018) Jinhao Lei et al.   RENEWABLE ENERGY

Recursive Exponential Slow Feature Analysis for Fine-Scale Adaptive Processes Monitoring With Comprehensive Operation Status Identification

(2018) Wanke Yu et al.   IEEE Transactions on Industrial Informatics

Fault Subspace Selection Approach Combined With Analysis of Relative Changes for Reconstruction Modeling and Multifault Diagnosis

(2016) Chunhui Zhao et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis in spur gears based on genetic algorithm and random forest

(2016) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors

(2015) Rodrigo H. Cunha Palácios et al.   ELECTRIC POWER SYSTEMS RESEARCH

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

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