A Multichannel MN-GCN for Wheelset-Bearing System Fault Diagnosis

Feature Extraction Using Parameterized Multisynchrosqueezing Transform

(2022) Xinyan Li et al.   IEEE SENSORS JOURNAL

Intelligent Diagnosis Using Continuous Wavelet Transform and Gauss Convolutional Deep Belief Network

(2022) Huimin Zhao et al.   IEEE TRANSACTIONS ON RELIABILITY

A new bearing fault diagnosis method based on signal-to-image mapping and convolutional neural network

(2021) Jing Zhao et al.   MEASUREMENT

A novel mathematical morphology spectrum entropy based on scale-adaptive techniques

(2021) Rui Yao et al.   ISA TRANSACTIONS

An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions

(2021) Jianguo Miao et al.   IEEE TRANSACTIONS ON RELIABILITY

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

(2021) Huan Wang et al.   ISA TRANSACTIONS

Rolling bearing fault diagnosis based on SSA optimized self-adaptive DBN

(2021) Shuzhi Gao et al.   ISA TRANSACTIONS

A novel feature adaptive extraction method based on deep learning for bearing fault diagnosis

(2021) Tian Zhang et al.   MEASUREMENT

Semi-supervised graph convolutional network and its application in intelligent fault diagnosis of rotating machinery

(2021) Yiyuan Gao et al.   MEASUREMENT

Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution

(2021) Zhijian Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge

(2021) Zhiwen Chen et al.   IEEE Transactions on Cybernetics

DeepGCNs: Making GCNs Go as Deep as CNNs

(2021) Guohao Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network

(2020) Dingcheng Zhang et al.   MEASUREMENT

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

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

Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network

(2020) Shui-Hua Wang et al.   Information Fusion

Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring

(2020) Anthony Faustine et al.   IEEE Transactions on Smart Grid

Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images

(2020) Haidong Shao et al.   IEEE Transactions on Industrial Informatics

Compound-Fault Diagnosis of Rotating Machinery: A Fused Imbalance Learning Method

(2020) Jingfei Zhang et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Adaptive correlated Kurtogram and its applications in wheelset-bearing system fault diagnosis

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

Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis

(2020) Tianfu Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Weighted recurrence networks for the analysis of time-series data

(2019) Rinku Jacob et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis

(2019) Siliang Lu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network

(2019) Zenghui An et al.   ISA TRANSACTIONS

Knowledge Transfer for Rotary Machine Fault Diagnosis

(2019) Ruqiang Yan et al.   IEEE SENSORS JOURNAL

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

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

A New Methodology to Estimate the Rotating Phase of a BLDC Motor With Its Application in Variable-Speed Bearing Fault Diagnosis

(2018) Siliang Lu et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Complex network approaches to nonlinear time series analysis

(2018) Yong Zou et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests

(2017) Ziwei Wang et al.   IEEE SENSORS JOURNAL

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

Time-Varying and Multiresolution Envelope Analysis and Discriminative Feature Analysis for Bearing Fault Diagnosis

(2015) Myeongsu Kang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Recurrence networks—a novel paradigm for nonlinear time series analysis

(2010) Reik V Donner et al.   NEW JOURNAL OF PHYSICS