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

IEEE transactions on industrial electronics (1982), 2016-11, Vol.63 (11), p.7067-7075

2016

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Bearing Fault Detection by One-Dimensional Convolutional Neural Networks

Mathematical problems in engineering, 2017-01, Vol.2017 (2017), p.1-9

2017

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Enhanced bearing fault detection using multichannel, multilevel 1D CNN classifier

Electrical engineering, 2022-04, Vol.104 (2), p.435-447

2022

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Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks

IEEE access, 2021, Vol.9, p.139260-139270

2021

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A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier

Journal of signal processing systems, 2019-02, Vol.91 (2), p.179-189

2019

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Neural network based inspection of voids and karst conduits in hydro–electric power station tunnels using GPR

Journal of applied geophysics, 2018-04, Vol.151, p.194-204

2018

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Bearing fault detection in adjustable speed drives via self-organized operational neural networks

Electrical engineering, 2024-10

2024

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Broken rotor bar detection via four-band wavelet packet decomposition of motor current

Electrical engineering, 2018-09, Vol.100 (3), p.1957-1962

2018

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Motor current signature analysis via four-channel FIR filter banks

Measurement : journal of the International Measurement Confederation, 2016-07, Vol.89, p.322-327

2016

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Bearing damage detection via wavelet packet decomposition of the stator current

IEEE transactions on instrumentation and measurement, 2004-04, Vol.53 (2), p.431-436

2004

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Adjustable-Speed Drive Bearing-Fault Detection Via Wavelet Packet Decomposition

IEEE transactions on instrumentation and measurement, 2009-08, Vol.58 (8), p.2747-2754

2009

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Harmonic Analysis Via Wavelet Packet Decomposition Using Special Elliptic Half-Band Filters

IEEE transactions on instrumentation and measurement, 2007-12, Vol.56 (6), p.2289-2293

2007

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Smartphone-based Bearing Fault Diagnosis in Rotating Machinery using Audio Data and 1D Convolutional Neural Networks

Proceedings of the International Conference on Computer Systems and Technologies 2024, 2024, p.149-154

2024

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Vector Space Models in Detection of Semantically Non-compositional Word Combinations in Turkish

Analysis of Images, Social Networks and Texts, p.53-63

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Improved Detection of Broken Rotor Bars by 1-D Self-ONNs

IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 2022, p.1-5

2022

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Improved Domain Adaptation Approach for Bearing Fault Diagnosis

IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 2022, p.1-6

2022

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Motor Condition Monitoring by Empirical Wavelet Transform

2018 26th European Signal Processing Conference (EUSIPCO), 2018, p.196-200

2018

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Comparison of time-domain and time-scale data in bearing fault detection

2019 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2019 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), 2019, p.143-146

2019

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Effect of current resampling in Motor Current Signature Analysis

2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2013, p.345-348

2013

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Bearing damage detection via wavelet packet decomposition of stator current

Eren, Levent

2002

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Motor current signature analysis via M-channel FIR cosine-modulated filter banks

International Aegean Conference on Electrical Machines and Power Electronics and Electromotion, Joint Conference, 2011, p.440-443

2011

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Enhanced feature selection from wavelet packet coefficients in fault diagnosis of induction motors with artificial neural networks

2010 IEEE Instrumentation & Measurement Technology Conference Proceedings, 2010, p.960-963

2010

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Bearing Fault Detection in Adjustable Speed Drives via a Support Vector Machine with Feature Selection using a Genetic Algorithm

2008 IEEE Instrumentation and Measurement Technology Conference, 2008, p.1129-1133

2008

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Bearing Fault Detection via Wavelet Packet Decomposition with Spectral Post Processing

2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007, 2007, p.1-4

2007

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Neural network based motor bearing fault detection

Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510), 2004, Vol.3, p.1657-1660 Vol.3

2004

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

Bearing Fault Detection by One-Dimensional Convolutional Neural Networks

Enhanced bearing fault detection using multichannel, multilevel 1D CNN classifier

Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks

A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier

Neural network based inspection of voids and karst conduits in hydro–electric power station tunnels using GPR

Bearing fault detection in adjustable speed drives via self-organized operational neural networks

Broken rotor bar detection via four-band wavelet packet decomposition of motor current

Motor current signature analysis via four-channel FIR filter banks

Bearing damage detection via wavelet packet decomposition of the stator current

Adjustable-Speed Drive Bearing-Fault Detection Via Wavelet Packet Decomposition

Harmonic Analysis Via Wavelet Packet Decomposition Using Special Elliptic Half-Band Filters

Smartphone-based Bearing Fault Diagnosis in Rotating Machinery using Audio Data and 1D Convolutional Neural Networks

Vector Space Models in Detection of Semantically Non-compositional Word Combinations in Turkish

Improved Detection of Broken Rotor Bars by 1-D Self-ONNs

Improved Domain Adaptation Approach for Bearing Fault Diagnosis

Motor Condition Monitoring by Empirical Wavelet Transform

Comparison of time-domain and time-scale data in bearing fault detection

Effect of current resampling in Motor Current Signature Analysis

Bearing damage detection via wavelet packet decomposition of stator current

Motor current signature analysis via M-channel FIR cosine-modulated filter banks

Enhanced feature selection from wavelet packet coefficients in fault diagnosis of induction motors with artificial neural networks

Bearing Fault Detection in Adjustable Speed Drives via a Support Vector Machine with Feature Selection using a Genetic Algorithm

Bearing Fault Detection via Wavelet Packet Decomposition with Spectral Post Processing

Neural network based motor bearing fault detection

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