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Gear fault feature extraction and diagnosis method under different load excitation based on EMD, PSO-SVM and fractal box dimension

Journal of Mechanical Science and Technology, 2019, 33(2), , pp.487-494

2019

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Stochastic resonance in a high-order time-delayed feedback tristable dynamic system and its application

Chaos, solitons and fractals, 2019-11, Vol.128, p.155-166

2019

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A sparse auto-encoder method based on compressed sensing and wavelet packet energy entropy for rolling bearing intelligent fault diagnosis

Journal of Mechanical Science and Technology, 2020, 34(4), , pp.1445-1458

2020

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Intelligent fault diagnosis of rotating machinery based on deep learning with feature selection

Journal of low frequency noise, vibration, and active control, 2020-12, Vol.39 (4), p.939-953

2020

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A novel intelligent fault diagnosis method based on dual convolutional neural network with multi-level information fusion

Journal of Mechanical Science and Technology, 2021, 35(8), , pp.3331-3345

2021

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A Novel Rotating Machinery Fault Diagnosis Method Based on Adaptive Deep Belief Network Structure and Dynamic Learning Rate Under Variable Working Conditions

IEEE access, 2021, Vol.9, p.44569-44579

2021

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A new fault diagnosis method based on deep belief network and support vector machine with Teager–Kaiser energy operator for bearings

Advances in mechanical engineering, 2017-12, Vol.9 (12), p.168781401774311

2017

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An Intelligent Fault Diagnosis Method of Variable Condition Gearbox Based on Improved DBN Combined With WPEE and MPE

IEEE access, 2020, Vol.8, p.131299-131309

2020

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Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD

Shock and vibration, 2018-01, Vol.2018 (2018), p.1-15

2018

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Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD

Shock and vibration, 2016-01, Vol.2016 (2016), p.1-11

2016

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Stochastic Resonance in a Multistable System Driven by Gaussian Noise

Discrete Dynamics in Nature and Society, 2016-01, Vol.2016 (2016), p.43-49-004

2016

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Signal Detection Based on Second-Order Underdamped Tristable Stochastic Resonance and Its Application to Weak Fault Diagnosis

IEEE access, 2019, Vol.7, p.173753-173765

2019

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A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis

Knowledge-based systems, 2022-05, Vol.243, p.108466, Article 108466

2022

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Study on the mean first-passage time and stochastic resonance of a multi-stable system with colored correlated noises

Chinese journal of physics (Taipei), 2021-02, Vol.69, p.98-107

2021

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A novel mechanical fault signal feature extraction method based on unsaturated piecewise tri-stable stochastic resonance

Measurement : journal of the International Measurement Confederation, 2021-01, Vol.168, p.108374, Article 108374

2021

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Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis

Expert systems with applications, 2024-12, Vol.255, p.124660, Article 124660

2024

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A novel stochastic resonance model based on bistable stochastic pooling network and its application

Chaos, solitons and fractals, 2021-04, Vol.145, p.110800, Article 110800

2021

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Stochastic resonance in a time-delayed feedback tristable system and its application in fault diagnosis

Journal of sound and vibration, 2018-06, Vol.424, p.1-14

2018

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Damage Identification of a Derrick Steel Structure Based on the HHT Marginal Spectrum Amplitude Curvature Difference

Shock and vibration, 2017-01, Vol.2017 (2017), p.1-9

2017

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Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis

Knowledge-based systems, 2023-05, Vol.268, p.110484, Article 110484

2023

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Multi-frequency weak signal detection based on wavelet transform and parameter compensation band-pass multi-stable stochastic resonance

Mechanical systems and signal processing, 2016-03, Vol.70-71, p.995-1010

2016

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Stochastic resonance in a high-dimensional space coupled bistable system and its application

Applied mathematical modelling, 2023-01, Vol.113, p.160-174

2023

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Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis

Neural networks, 2023-05, Vol.162, p.69-82

2023

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A novel underdamped continuous unsaturation bistable stochastic resonance method and its application

Chaos, solitons and fractals, 2021-10, Vol.151, p.111228, Article 111228

2021

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Wind turbines fault diagnosis method under variable working conditions based on AMVMD and deep discrimination transfer learning network

Measurement science & technology, 2024-04, Vol.35 (4), p.46120

2024

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Gear fault feature extraction and diagnosis method under different load excitation based on EMD, PSO-SVM and fractal box dimension

Stochastic resonance in a high-order time-delayed feedback tristable dynamic system and its application

A sparse auto-encoder method based on compressed sensing and wavelet packet energy entropy for rolling bearing intelligent fault diagnosis

Intelligent fault diagnosis of rotating machinery based on deep learning with feature selection

A novel intelligent fault diagnosis method based on dual convolutional neural network with multi-level information fusion

A Novel Rotating Machinery Fault Diagnosis Method Based on Adaptive Deep Belief Network Structure and Dynamic Learning Rate Under Variable Working Conditions

A new fault diagnosis method based on deep belief network and support vector machine with Teager–Kaiser energy operator for bearings

An Intelligent Fault Diagnosis Method of Variable Condition Gearbox Based on Improved DBN Combined With WPEE and MPE

Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD

Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD

Stochastic Resonance in a Multistable System Driven by Gaussian Noise

Signal Detection Based on Second-Order Underdamped Tristable Stochastic Resonance and Its Application to Weak Fault Diagnosis

A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis

Study on the mean first-passage time and stochastic resonance of a multi-stable system with colored correlated noises

A novel mechanical fault signal feature extraction method based on unsaturated piecewise tri-stable stochastic resonance

Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis

A novel stochastic resonance model based on bistable stochastic pooling network and its application

Stochastic resonance in a time-delayed feedback tristable system and its application in fault diagnosis

Damage Identification of a Derrick Steel Structure Based on the HHT Marginal Spectrum Amplitude Curvature Difference

Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis

Multi-frequency weak signal detection based on wavelet transform and parameter compensation band-pass multi-stable stochastic resonance

Stochastic resonance in a high-dimensional space coupled bistable system and its application

Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis

A novel underdamped continuous unsaturation bistable stochastic resonance method and its application

Wind turbines fault diagnosis method under variable working conditions based on AMVMD and deep discrimination transfer learning network

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