Attention mechanism based multi-scale feature extraction of bearing fault diagnosis

The Intermittent Fault Diagnosis of Analog Circuits Based on EEMD-DBN

(2021) Ting Zhong et al.   NEUROCOMPUTING

An Optimized Adaptive PReLU-DBN for Rolling Element Bearing Fault Diagnosis

(2021) Guangxing Niu et al.   NEUROCOMPUTING

A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests

(2020) Qin Hu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Imbalanced sample fault diagnosis of rotating machinery using conditional variational auto-encoder generative adversarial network

(2020) You-ren Wang et al.   APPLIED SOFT COMPUTING

A hybrid DBN-SOM-PF-based prognostic approach of remaining useful life for wind turbine gearbox

(2020) Yubin Pan et al.   RENEWABLE ENERGY

Interpreting network knowledge with attention mechanism for bearing fault diagnosis

(2020) Zhi-bo Yang et al.   APPLIED SOFT COMPUTING

Condition-based maintenance optimization for continuously monitored degrading systems under imperfect maintenance actions

(2020) Chen Chuang et al.   Journal of Systems Engineering and Electronics

Intelligent ball screw fault diagnosis using a deep domain adaptation methodology

(2020) Moslem Azamfar et al.   MECHANISM AND MACHINE THEORY

A systematic review of deep transfer learning for machinery fault diagnosis

(2020) Chuan Li et al.   NEUROCOMPUTING

Reliability analysis of thermal error model based on DBN and Monte Carlo method

(2020) Kuo Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A comprehensive review on convolutional neural network in machine fault diagnosis

(2020) Jinyang Jiao et al.   NEUROCOMPUTING

Rolling bearing fault diagnosis using optimal ensemble deep transfer network

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

Condition monitoring and intelligent diagnosis of rolling element bearings under constant/variable load and speed conditions

(2020) Ali Moshrefzadeh   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of rolling bearings using an Improved Multi-Scale Convolutional Neural Network with Feature Attention mechanism

(2020) Zifei Xu et al.   ISA TRANSACTIONS

Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery

(2020) Biao Wang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Understanding and Improving Deep Learning-Based Rolling Bearing Fault Diagnosis with Attention Mechanism

(2019) Xiang Li et al.   SIGNAL PROCESSING

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

(2019) Yuanhang Chen et al.   APPLIED SOFT COMPUTING

Intelligent fault diagnosis of cooling radiator based on deep learning analysis of infrared thermal images

(2019) Amin Nasiri et al.   APPLIED THERMAL ENGINEERING

Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation

(2019) Xiang Li et al.   NEUROCOMPUTING

Time Series Multiple Channel Convolutional Neural Network with Attention-Based Long Short-Term Memory for Predicting Bearing Remaining Useful Life

(2019) Jehn-Ruey Jiang et al.   SENSORS

A Data-Driven Aero-Engine Degradation Prognostic Strategy

(2019) Cunsong Wang et al.   IEEE Transactions on Cybernetics

Bearing fault diagnosis under unknown time-varying rotational speed conditions via multiple time-frequency curve extraction

(2018) Huan Huang et al.   JOURNAL OF SOUND AND VIBRATION

Probability-Relevant Incipient Fault Detection and Diagnosis Methodology With Applications to Electric Drive Systems

(2018) Hongtian Chen et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics

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

An Intelligent Fault Diagnosis of Induction Motors in an Arbitrary Noisy Environment

(2015) Muhammad Irfan et al.   JOURNAL OF NONDESTRUCTIVE EVALUATION