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Modelling of a soft multi-chambered climbing robot and experiments

Smart materials and structures, 2021-03, Vol.30 (3), p.35009

2021

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Application of recurrent neural network to mechanical fault diagnosis: a review

Journal of Mechanical Science and Technology, 2022, 36(2), , pp.527-542

2022

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New Fault Recognition Method for Rotary Machinery Based on Information Entropy and a Probabilistic Neural Network

Sensors (Basel, Switzerland), 2018-01, Vol.18 (2), p.337

2018

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Design and Motion Analysis of Adjustable Pneumatic Soft Manipulator for Grasping Objects

IEEE access, 2020, Vol.8, p.191920-191929

2020

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Motion blur processing method for visual SLAM system based on local residual blur discrimination network

Journal of Mechanical Science and Technology, 2022, 36(7), , pp.3653-3666

2022

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Machinery fault diagnosis using supervised manifold learning

Mechanical systems and signal processing, 2009-10, Vol.23 (7), p.2301-2311

2009

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Structural model and dynamic analysis of six-axis Cartesian coordinate robot for sheet metal bending

International journal of advanced robotic systems, 2019-07, Vol.16 (4), p.172988141986156

2019

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Grasping Claws of Bionic Climbing Robot for Rough Wall Surface: Modeling and Analysis

Applied sciences, 2018-01, Vol.8 (1), p.14

2018

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An improved Laplacian Eigenmaps method for machine nonlinear fault feature extraction

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2018-11, Vol.232 (21), p.3833-3842

2018

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Nonlinear machine fault detection by semi-supervised Laplacian Eigenmaps

Journal of Mechanical Science and Technology, 2017, 31(8), , pp.3697-3703

2017

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The Dynamic Coupling Analysis for All-Wheel-Drive Climbing Robot Based on Safety Recovery Mechanism Model

Applied sciences, 2018-11, Vol.8 (11), p.2123

2018

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Tightly-Coupled Data Compression for Efficient Face Alignment

Applied sciences, 2018-11, Vol.8 (11), p.2284

2018

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Enhanced transfer learning method for rolling bearing fault diagnosis based on linear superposition network

Engineering applications of artificial intelligence, 2023-05, Vol.121, p.105970, Article 105970

2023

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RUL prediction for rolling bearings based on Convolutional Autoencoder and status degradation model

Applied soft computing, 2022-11, Vol.130, p.109686, Article 109686

2022

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An intelligent fault diagnosis method for rolling bearings based on feature transfer with improved DenseNet and joint distribution adaptation

Measurement science & technology, 2022-02, Vol.33 (2), p.25101

2022

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New transfer learning fault diagnosis method of rolling bearing based on ADC-CNN and LATL under variable conditions

Measurement : journal of the International Measurement Confederation, 2022-01, Vol.188, p.110587, Article 110587

2022

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Deep Transfer Learning in Mechanical Intelligent Fault Diagnosis: Application and Challenge

Neural processing letters, 2022-06, Vol.54 (3), p.2509-2531

2022

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Developing a climbing robot for repairing cables of cable-stayed bridges

Automation in construction, 2021-09, Vol.129, p.103807, Article 103807

2021

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New RUL Prediction Method for Rotating Machinery via Data Feature Distribution and Spatial Attention Residual Network

IEEE transactions on instrumentation and measurement, 2023, Vol.72, p.1-9

2023

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Merging preferences into the best solution seeking for many-objective optimization problems

Expert systems with applications, 2024-11, Vol.254, p.124351, Article 124351

2024

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Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery

Engineering applications of artificial intelligence, 2023-09, Vol.124, p.106491, Article 106491

2023

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Study on multi-level progressive optimization of planetary roller screw mechanism

Tribology international, 2023-11, Vol.189, p.109008, Article 109008

2023

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Rolling bearing fault feature extraction via improved SSD and a singular-value energy autocorrelation coefficient spectrum

Measurement science & technology, 2022-08, Vol.33 (8), p.85112

2022

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Multiscale Pooled Convolutional Domain Adaptation Network for Intelligent Diagnosis of Rolling Bearing Under Variable Conditions

IEEE sensors journal, 2023-11, Vol.23 (21), p.26163-26176

2023

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Uncertainty analysis and reliability improvement of planetary roller screw mechanism using active learning Kriging model

Probabilistic engineering mechanics, 2023-04, Vol.72, p.103436, Article 103436

2023

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Modelling of a soft multi-chambered climbing robot and experiments

Application of recurrent neural network to mechanical fault diagnosis: a review

New Fault Recognition Method for Rotary Machinery Based on Information Entropy and a Probabilistic Neural Network

Design and Motion Analysis of Adjustable Pneumatic Soft Manipulator for Grasping Objects

Motion blur processing method for visual SLAM system based on local residual blur discrimination network

Machinery fault diagnosis using supervised manifold learning

Structural model and dynamic analysis of six-axis Cartesian coordinate robot for sheet metal bending

Grasping Claws of Bionic Climbing Robot for Rough Wall Surface: Modeling and Analysis

An improved Laplacian Eigenmaps method for machine nonlinear fault feature extraction

Nonlinear machine fault detection by semi-supervised Laplacian Eigenmaps

The Dynamic Coupling Analysis for All-Wheel-Drive Climbing Robot Based on Safety Recovery Mechanism Model

Tightly-Coupled Data Compression for Efficient Face Alignment

Enhanced transfer learning method for rolling bearing fault diagnosis based on linear superposition network

RUL prediction for rolling bearings based on Convolutional Autoencoder and status degradation model

An intelligent fault diagnosis method for rolling bearings based on feature transfer with improved DenseNet and joint distribution adaptation

New transfer learning fault diagnosis method of rolling bearing based on ADC-CNN and LATL under variable conditions

Deep Transfer Learning in Mechanical Intelligent Fault Diagnosis: Application and Challenge

Developing a climbing robot for repairing cables of cable-stayed bridges

New RUL Prediction Method for Rotating Machinery via Data Feature Distribution and Spatial Attention Residual Network

Merging preferences into the best solution seeking for many-objective optimization problems

Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery

Study on multi-level progressive optimization of planetary roller screw mechanism

Rolling bearing fault feature extraction via improved SSD and a singular-value energy autocorrelation coefficient spectrum

Multiscale Pooled Convolutional Domain Adaptation Network for Intelligent Diagnosis of Rolling Bearing Under Variable Conditions

Uncertainty analysis and reliability improvement of planetary roller screw mechanism using active learning Kriging model

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