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Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

Mechanical systems and signal processing, 2019-11, Vol.133, p.106272, Article 106272

2019

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The anomalous and smoothed anomalous envelope spectra for rotating machine fault diagnosis

Mechanical systems and signal processing, 2021-09, Vol.158, p.107770, Article 107770

2021

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An informative frequency band identification framework for gearbox fault diagnosis under time-varying operating conditions

Mechanical systems and signal processing, 2021-09, Vol.158, p.107771, Article 107771

2021

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A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions

Mechanical systems and signal processing, 2020-08, Vol.142, p.106739, Article 106739

2020

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A discrepancy analysis methodology for rolling element bearing diagnostics under variable speed conditions

Mechanical systems and signal processing, 2019-02, Vol.116, p.40-61

2019

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Combining an optimisation-based frequency band identification method with historical data for novelty detection under time-varying operating conditions

Measurement : journal of the International Measurement Confederation, 2021-02, Vol.169, p.108517, Article 108517

2021

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KDamping: A stiffness based vibration absorption concept

Journal of vibration and control, 2018-02, Vol.24 (3), p.588-606

2018

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A methodology using the spectral coherence and healthy historical data to perform gearbox fault diagnosis under varying operating conditions

Applied acoustics, 2020-01, Vol.158, p.107038, Article 107038

2020

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A pre-processing methodology to enhance novel information for rotating machine diagnostics

Mechanical systems and signal processing, 2019-06, Vol.124, p.541-561

2019

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Computer-vision-based research on friction vibration and coupling of frictional and torsional vibrations in water-lubricated bearing-shaft system

Tribology international, 2020-10, Vol.150, p.106336, Article 106336

2020

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The influence of the unbalanced magnetic pull on fault-induced rotor eccentricity in induction motors

Journal of Vibration and Control, 2024-03, Vol.30 (5-6), p.943-959

2024

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Estimation of the instantaneous rotation speed using complex shifted Morlet wavelets

Mechanical systems and signal processing, 2013-07, Vol.38 (1), p.78-95

2013

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A semi-supervised Support Vector Data Description-based fault detection method for rolling element bearings based on cyclic spectral analysis

Mechanical systems and signal processing, 2020-06, Vol.140, p.106682, Article 106682

2020

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Cyclostationary-based Multiband Envelope Spectra Extraction for bearing diagnostics: The Combined Improved Envelope Spectrum

Mechanical systems and signal processing, 2021-02, Vol.149, p.107150, Article 107150

2021

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Simulation-driven Domain Adaptation for Rolling Element Bearing Fault Diagnosis

IEEE transactions on industrial informatics, 2022-09, Vol.18 (9), p.1-1

2022

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A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles

Journal of Computational Design and Engineering , 2022, 9(4), , pp.1511-1524

2022

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Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network

IEEE transactions on industrial informatics, 2020-01, Vol.16 (1), p.339-349

2020

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Intelligent fault diagnosis of rotating machinery using lightweight network with modified tree‐structured parzen estimators

IET collaborative intelligent manufacturing, 2022-09, Vol.4 (3), p.194-207

2022

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A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

Mechanical systems and signal processing, 2020-06, Vol.140, p.106683, Article 106683

2020

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IFESIS: Instantaneous frequencies estimation via subspace invariance properties of wavelet structures

Mechanical systems and signal processing, 2014-12, Vol.49 (1-2), p.264-284

2014

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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Mechanical systems and signal processing, 2022-03, Vol.167, p.108487, Article 108487

2022

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Perspectives on Health and Usage Monitoring Systems (HUMS) of helicopters

MATEC Web of Conferences, 2020, Vol.314, p.2008

2020

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An anomalous frequency band identification method utilising available healthy historical data for gearbox fault detection

Measurement : journal of the International Measurement Confederation, 2023-11, Vol.222, p.113515, Article 113515

2023

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Enhanced demodulation band selection based on Operational Modal Analysis (OMA) for bearing diagnostics

Mechanical systems and signal processing, 2022-12, Vol.181 (C), p.109300, Article 109300

2022

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Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery

IEEE transactions on instrumentation and measurement, 2020-11, Vol.69 (11), p.8702-8712

2020

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Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

The anomalous and smoothed anomalous envelope spectra for rotating machine fault diagnosis

An informative frequency band identification framework for gearbox fault diagnosis under time-varying operating conditions

A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions

A discrepancy analysis methodology for rolling element bearing diagnostics under variable speed conditions

Combining an optimisation-based frequency band identification method with historical data for novelty detection under time-varying operating conditions

KDamping: A stiffness based vibration absorption concept

A methodology using the spectral coherence and healthy historical data to perform gearbox fault diagnosis under varying operating conditions

A pre-processing methodology to enhance novel information for rotating machine diagnostics

Computer-vision-based research on friction vibration and coupling of frictional and torsional vibrations in water-lubricated bearing-shaft system

The influence of the unbalanced magnetic pull on fault-induced rotor eccentricity in induction motors

Estimation of the instantaneous rotation speed using complex shifted Morlet wavelets

A semi-supervised Support Vector Data Description-based fault detection method for rolling element bearings based on cyclic spectral analysis

Cyclostationary-based Multiband Envelope Spectra Extraction for bearing diagnostics: The Combined Improved Envelope Spectrum

Simulation-driven Domain Adaptation for Rolling Element Bearing Fault Diagnosis

A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network

Intelligent fault diagnosis of rotating machinery using lightweight network with modified tree‐structured parzen estimators

A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

IFESIS: Instantaneous frequencies estimation via subspace invariance properties of wavelet structures

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Perspectives on Health and Usage Monitoring Systems (HUMS) of helicopters

An anomalous frequency band identification method utilising available healthy historical data for gearbox fault detection

Enhanced demodulation band selection based on Operational Modal Analysis (OMA) for bearing diagnostics

Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery

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