A physics-informed feature weighting method for bearing fault diagnostics

A physics-informed feature weighting method for bearing fault diagnostics

(2023) Hao Lu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Motor-current-based electromagnetic interference de-noising method for rolling element bearing diagnosis using acoustic emission sensors

(2022) Su J. Kim et al.   MEASUREMENT

Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next

(2022) Salvatore Cuomo et al.   JOURNAL OF SCIENTIFIC COMPUTING

Deep neural network methods for solving forward and inverse problems of time fractional diffusion equations with conformable derivative

(2022) Yinlin Ye et al.   NEUROCOMPUTING

A review of vibration-based gear wear monitoring and prediction techniques

(2022) Ke Feng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Digital twin-driven intelligent assessment of gear surface degradation

(2022) Ke Feng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Enhanced K-Nearest Neighbor for Intelligent Fault Diagnosis of Rotating Machinery

(2021) Jiantao Lu et al.   Applied Sciences-Basel

A physics-informed deep learning approach for bearing fault detection

(2021) Sheng Shen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis

(2021) Ke Zhao et al.   KNOWLEDGE-BASED SYSTEMS

Weighted domain adaptation networks for machinery fault diagnosis

(2021) Dongdong Wei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising

(2021) Huan Wang et al.   ISA TRANSACTIONS

A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis

(2021) Qing Ni et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing incipient fault feature extraction using adaptive period matching enhanced sparse representation

(2021) Renhe Yao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings

(2021) Yifei Ding et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

(2021) Tianfu Li et al.   IEEE Transactions on Systems Man Cybernetics-Systems

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

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

Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks

(2020) Zifei Xu et al.   APPLIED SOFT COMPUTING

A Review on Fault Diagnosis and Condition Monitoring of Gearboxes by Using AE Technique

(2020) Mahendra Singh Raghav et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network

(2020) Xin Wang et al.   MEASUREMENT

A comprehensive review on convolutional neural network in machine fault diagnosis

(2020) Jinyang Jiao et al.   NEUROCOMPUTING

A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis

(2020) Wentao Mao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines

(2020) Jun Zhu et al.   IEEE Transactions on Industrial Informatics

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

(2019) Xiang Li et al.   SIGNAL PROCESSING

Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning

(2019) Gaowei Xu et al.   SENSORS

Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings

(2019) Mohammadkazem Sadoughi et al.   IEEE SENSORS JOURNAL

An energy efficient IoT data compression approach for edge machine learning

(2019) Joseph Azar et al.   Future Generation Computer Systems-The International Journal of eScience

A Motor Current Signal-Based Bearing Fault Diagnosis Using Deep Learning and Information Fusion

(2019) Duy Tang Hoang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis

(2019) Huan Wang et al.   IEEE Transactions on Industrial Informatics

A review on the application of deep learning in system health management

(2018) Samir Khan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing

(2018) Xiaoan Yan et al.   NEUROCOMPUTING

Planetary bearing defect detection in a commercial helicopter main gearbox with vibration and acoustic emission

(2018) Faris Elasha et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Multi-Layer domain adaptation method for rolling bearing fault diagnosis

(2018) Xiang Li et al.   SIGNAL PROCESSING

Deep Model Based Domain Adaptation for Fault Diagnosis

(2017) Weining Lu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis

(2016) Jing Tian et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Unified Framework and Platform for Designing of Cloud-Based Machine Health Monitoring and Manufacturing Systems

(2015) Shanhu Yang et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Intelligent fault diagnosis of roller bearings with multivariable ensemble-based incremental support vector machine

(2015) XiaoLi Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Ball bearing damage detection using traditional signal processing algorithms

(2013) Inigo Bediaga et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE

A rule-based intelligent method for fault diagnosis of rotating machinery

(2012) Dongyang Dou et al.   KNOWLEDGE-BASED SYSTEMS