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Application of Spectral Kurtosis and Improved Extreme Learning Machine for Bearing Fault Classification

IEEE transactions on instrumentation and measurement, 2019-11, Vol.68 (11), p.4222-4233

2019

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Proportional Selection Scheme: A Frequency Band Division Tool for Rolling Element Bearing Diagnostics

IEEE transactions on industrial electronics (1982), 2022-09, Vol.69 (9), p.9504-9513

2022

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Instantaneous-Angular-Speed-Based Synchronous Averaging Tool for Bearing Outer Race Fault Diagnosis

IEEE transactions on industrial electronics (1982), 2023-06, Vol.70 (6), p.6250-6260

2023

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Degradation Data-Driven Time-To-Failure Prognostics Approach for Rolling Element Bearings in Electrical Machines

IEEE transactions on industrial electronics (1982), 2019-01, Vol.66 (1), p.529-539

2019

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A bearing data analysis based on kurtogram and deep learning sequence models

Measurement : journal of the International Measurement Confederation, 2019-10, Vol.145, p.665-677

2019

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Nonlinear and linearised analyses of a generic rotor on single-pad foil-air bearings using Galerkin Reduction with different applied air film conditions

Journal of sound and vibration, 2022-05, Vol.525, p.116774, Article 116774

2022

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

Measurement : journal of the International Measurement Confederation, 2022-04, Vol.193, p.110912, Article 110912

2022

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Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

Mechanical systems and signal processing, 2015-05, Vol.56-57, p.150-172

2015

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Optical Encoder-Based Feature Extract of Faulty Rolling Element Bearing Under Variable-Speed Conditions

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-10

2024

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A Novel Wind Turbine Rolling Element Bearing Fault Diagnosis Method Based on CEEMDAN and Improved TFR Demodulation Analysis

Energies (Basel), 2024-02, Vol.17 (4), p.819

2024

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Bearing Fault Diagnosis Based on the Maximum Squared-Enveloped Multipoint Kurtosis Morphological Deconvolution

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-11

2022

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Data Decomposition Techniques with Multi-Scale Permutation Entropy Calculations for Bearing Fault Diagnosis

Sensors (Basel, Switzerland), 2018-04, Vol.18 (4), p.1278

2018

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Effective band-selection algorithm for rolling element bearing diagnosis using AE sensor data under noisy conditions

Structural and multidisciplinary optimization, 2022-09, Vol.65 (9), Article 275

2022

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Overview of dynamic modelling and analysis of rolling element bearings with localized and distributed faults

Nonlinear dynamics, 2018-09, Vol.93 (4), p.1765-1798

2018

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Coupled Hidden Markov Fusion of Multichannel Fast Spectral Coherence Features for Intelligent Fault Diagnosis of Rolling Element Bearings

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-10

2021

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Time domain vibration analysis techniques for condition monitoring of rolling element bearing: A review

Materials today : proceedings, 2022, Vol.62, p.6336-6340

2022

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Fault Diagnosis for Rolling Element Bearing in Dataset Bias Scenario

Shanghai jiao tong da xue xue bao, 2023-10, Vol.28 (5), p.638-651

2023

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A novel method of fault diagnosis for rolling element bearings based on the accumulated envelope spectrum of the wavelet packet

Journal of vibration and control, 2015-06, Vol.21 (8), p.1580-1593

2015

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A bearing vibration data analysis based on spectral kurtosis and ConvNet

Soft computing (Berlin, Germany), 2019-10, Vol.23 (19), p.9341-9359

2019

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A data-driven degradation prognostics approach for rolling element bearings

Journal of intelligent & fuzzy systems, 2022-01, Vol.43 (5), p.6061-6076

2022

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Optimum prediction model of remaining useful life for rolling element bearing based on integrating optimize health indicator (OHI) and machine learning algorithm

World journal of engineering, 2024-01, Vol.21 (1), p.170-185

Nistane, Vinod

2024

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A mechanical data analysis using kurtogram and extreme learning machine

Neural computing & applications, 2020-04, Vol.32 (8), p.3789-3801

2020

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Incipient Fault Feature Extraction of Rolling Bearings Using Autocorrelation Function Impulse Harmonic to Noise Ratio Index Based SVD and Teager Energy Operator

Applied sciences, 2017-10, Vol.7 (11), p.1117

2017

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Bearing Defect Detection Using Envelope Extraction for Dimension Reduction

Asset Intelligence Through Integration and Interoperability and Contemporary Vibration Engineering Technologies, 2019, p.137-145

2019

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Manufacturing and Characterization of Quicklime (CaO) Filled ZA‐27 Metal Alloy Composites for Single‐Row Deep Groove Ball Bearing

Handbook of Composites from Renewable Materials, 2017, p.133-157

2017

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Roller Bearings
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Rolling Element Bearing
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Signal Processing
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Application of Spectral Kurtosis and Improved Extreme Learning Machine for Bearing Fault Classification

Proportional Selection Scheme: A Frequency Band Division Tool for Rolling Element Bearing Diagnostics

Instantaneous-Angular-Speed-Based Synchronous Averaging Tool for Bearing Outer Race Fault Diagnosis

Degradation Data-Driven Time-To-Failure Prognostics Approach for Rolling Element Bearings in Electrical Machines

A bearing data analysis based on kurtogram and deep learning sequence models

Nonlinear and linearised analyses of a generic rotor on single-pad foil-air bearings using Galerkin Reduction with different applied air film conditions

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

Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

Optical Encoder-Based Feature Extract of Faulty Rolling Element Bearing Under Variable-Speed Conditions

A Novel Wind Turbine Rolling Element Bearing Fault Diagnosis Method Based on CEEMDAN and Improved TFR Demodulation Analysis

Bearing Fault Diagnosis Based on the Maximum Squared-Enveloped Multipoint Kurtosis Morphological Deconvolution

Data Decomposition Techniques with Multi-Scale Permutation Entropy Calculations for Bearing Fault Diagnosis

Effective band-selection algorithm for rolling element bearing diagnosis using AE sensor data under noisy conditions

Overview of dynamic modelling and analysis of rolling element bearings with localized and distributed faults

Coupled Hidden Markov Fusion of Multichannel Fast Spectral Coherence Features for Intelligent Fault Diagnosis of Rolling Element Bearings

Time domain vibration analysis techniques for condition monitoring of rolling element bearing: A review

Fault Diagnosis for Rolling Element Bearing in Dataset Bias Scenario

A novel method of fault diagnosis for rolling element bearings based on the accumulated envelope spectrum of the wavelet packet

A bearing vibration data analysis based on spectral kurtosis and ConvNet

A data-driven degradation prognostics approach for rolling element bearings

Optimum prediction model of remaining useful life for rolling element bearing based on integrating optimize health indicator (OHI) and machine learning algorithm

A mechanical data analysis using kurtogram and extreme learning machine

Incipient Fault Feature Extraction of Rolling Bearings Using Autocorrelation Function Impulse Harmonic to Noise Ratio Index Based SVD and Teager Energy Operator

Bearing Defect Detection Using Envelope Extraction for Dimension Reduction

Manufacturing and Characterization of Quicklime (CaO) Filled ZA‐27 Metal Alloy Composites for Single‐Row Deep Groove Ball Bearing

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