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Integrating Feature Engineering with Deep Learning to Conduct Diagnostic and Predictive Analytics for Turbofan Engines

Mathematical problems in engineering, 2022-09, Vol.2022, p.1-14

2022

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Applications of stochastic resonance to machinery fault detection: A review and tutorial

Mechanical systems and signal processing, 2019-05, Vol.122, p.502-536

2019

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A second-order stochastic resonance method enhanced by fractional-order derivative for mechanical fault detection

Nonlinear dynamics, 2021-09, Vol.106 (1), p.707-723

2021

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Stochastic resonance induced weak signal enhancement over controllable potential-well asymmetry

Chaos, solitons and fractals, 2021-05, Vol.146, p.110845, Article 110845

2021

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Stochastic Resonance with Parameter Estimation for Enhancing Unknown Compound Fault Detection of Bearings

Sensors (Basel, Switzerland), 2023-04, Vol.23 (8), p.3860

2023

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Coupled neurons with multi-objective optimization benefit incipient fault identification of machinery

Chaos, solitons and fractals, 2021-04, Vol.145, p.110813, Article 110813

2021

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High-Performance Adaptive Weak Fault Diagnosis Based on the Global Parameter Optimization Model of a Cascaded Stochastic Resonance System

Sensors (Basel, Switzerland), 2023-04, Vol.23 (9), p.4429

2023

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Research on a Bearing Fault Enhancement Diagnosis Method with Convolutional Neural Network Based on Adaptive Stochastic Resonance

Sensors (Basel, Switzerland), 2022-11, Vol.22 (22), p.8730

2022

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Array-enhanced logical stochastic resonance subject to colored noise

Chinese journal of physics (Taipei), 2017-04, Vol.55 (2), p.252-259

2017

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SVD principle analysis and fault diagnosis for bearings based on the correlation coefficient

Measurement science & technology, 2015-08, Vol.26 (8), p.85014-15

2015

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On high-performance rotational energy harvesting with a novel cam-like dielectric elastomer generator

Science China. Technological sciences, 2023-05, Vol.66 (5), p.1317-1334

2023

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Fractional Order Derivative and Time-Delay Feedback Enabled Stochastic Resonance for Bearing Fault Diagnosis

Shock and vibration, 2023, Vol.2023, p.1-12

2023

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An adaptive unsaturated bistable stochastic resonance method and its application in mechanical fault diagnosis

Mechanical systems and signal processing, 2017-02, Vol.84, p.731-746

2017

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An underdamped stochastic resonance method with stable-state matching for incipient fault diagnosis of rolling element bearings

Mechanical systems and signal processing, 2017-09, Vol.94, p.148-164

2017

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Repetitive transient extraction for machinery fault diagnosis using multiscale fractional order entropy infogram

Mechanical systems and signal processing, 2018-03, Vol.103, p.312-326

2018

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The effect of chemical disorder on magnetic properties of FeNi and Fe2Ni2N alloys

Journal of magnetism and magnetic materials, 2023-02, Vol.568, p.170362, Article 170362

2023

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Noise-boosted weak signal detection in fractional nonlinear systems enhanced by increasing potential-well width and its application to mechanical fault diagnosis

Chaos, solitons and fractals, 2023-10, Vol.175, p.113960, Article 113960

2023

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Chaotic resonance in a fractional-order oscillator system with application to mechanical fault diagnosis

Chaos, solitons and fractals, 2021-01, Vol.142, p.110536, Article 110536

2021

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Coupled Hybrid Stochastic Resonance With Multiobjective Optimization for Machinery Dynamic Signature and Fault Diagnosis

IEEE sensors journal, 2023-06, Vol.23 (11), p.11825-11837

2023

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Coupled Hybrid Stochastic Resonance with Multi-objective Optimization for Machinery Dynamic Signature and Fault Diagnosis

IEEE sensors journal, 2023-04, p.1-1

2023

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A new gear mesh stiffness model for tooth broken gears based on the concept of large tooth gap assumption

Engineering failure analysis, 2024-08, p.108744, Article 108744

2024

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Cyclogram: an effective method for selecting frequency bands for fault diagnosis of rolling element bearings

Measurement science & technology, 2023-09, Vol.34 (9), p.94003

2023

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Double stochastic resonance induced by varying potential-well depth and width

Journal of the Franklin Institute, 2021-02, Vol.358 (3), p.2194-2211

2021

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A Family of Health Indicators Induced by EOF for Condition Monitoring of Machinery

IEEE sensors journal, 2024-04, Vol.24 (7), p.10573-10583

2024

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Energy harvesting from a hybrid piezo-dielectric vibration energy harvester with a self-priming circuit

Energy (Oxford), 2023-06, Vol.273, p.127205, Article 127205

2023

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Integrating Feature Engineering with Deep Learning to Conduct Diagnostic and Predictive Analytics for Turbofan Engines

Applications of stochastic resonance to machinery fault detection: A review and tutorial

A second-order stochastic resonance method enhanced by fractional-order derivative for mechanical fault detection

Stochastic resonance induced weak signal enhancement over controllable potential-well asymmetry

Stochastic Resonance with Parameter Estimation for Enhancing Unknown Compound Fault Detection of Bearings

Coupled neurons with multi-objective optimization benefit incipient fault identification of machinery

High-Performance Adaptive Weak Fault Diagnosis Based on the Global Parameter Optimization Model of a Cascaded Stochastic Resonance System

Research on a Bearing Fault Enhancement Diagnosis Method with Convolutional Neural Network Based on Adaptive Stochastic Resonance

Array-enhanced logical stochastic resonance subject to colored noise

SVD principle analysis and fault diagnosis for bearings based on the correlation coefficient

On high-performance rotational energy harvesting with a novel cam-like dielectric elastomer generator

Fractional Order Derivative and Time-Delay Feedback Enabled Stochastic Resonance for Bearing Fault Diagnosis

An adaptive unsaturated bistable stochastic resonance method and its application in mechanical fault diagnosis

An underdamped stochastic resonance method with stable-state matching for incipient fault diagnosis of rolling element bearings

Repetitive transient extraction for machinery fault diagnosis using multiscale fractional order entropy infogram

The effect of chemical disorder on magnetic properties of FeNi and Fe2Ni2N alloys

Noise-boosted weak signal detection in fractional nonlinear systems enhanced by increasing potential-well width and its application to mechanical fault diagnosis

Chaotic resonance in a fractional-order oscillator system with application to mechanical fault diagnosis

Coupled Hybrid Stochastic Resonance With Multiobjective Optimization for Machinery Dynamic Signature and Fault Diagnosis

Coupled Hybrid Stochastic Resonance with Multi-objective Optimization for Machinery Dynamic Signature and Fault Diagnosis

A new gear mesh stiffness model for tooth broken gears based on the concept of large tooth gap assumption

Cyclogram: an effective method for selecting frequency bands for fault diagnosis of rolling element bearings

Double stochastic resonance induced by varying potential-well depth and width

A Family of Health Indicators Induced by EOF for Condition Monitoring of Machinery

Energy harvesting from a hybrid piezo-dielectric vibration energy harvester with a self-priming circuit

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