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Early weak fault diagnosis of rolling element bearing based on resonance sparse decomposition and multi-objective information frequency band selection method

Journal of vibration and control, 2022-10, Vol.28 (19-20), p.2762-2776

2022

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An improved quasi-zero stiffness isolator with two pairs of oblique springs to increase isolation frequency band

Nonlinear dynamics, 2021-03, Vol.104 (1), p.349-365

2021

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An adaptive model for time-varying speed fault diagnosis under strong noise interference

Journal of Mechanical Science and Technology, 2024, 38(6), , pp.2831-2844

2024

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Diagnosis of rolling element bearing based on multifractal detrended fluctuation analyses and continuous hidden markov model

Journal of Mechanical Science and Technology, 2021, 35(8), , pp.3313-3322

2021

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Maximum capacity and state of health estimation based on equivalent circuit model for degraded battery

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2024-06, Vol.238 (11), p.5304-5314

2024

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Multi-source information deep fusion for rolling bearing fault diagnosis based on deep residual convolution neural network

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2022-07, Vol.236 (13), p.7576-7589

2022

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An imbalance multi-faults data transfer learning diagnosis method based on finite element simulation optimization model of rolling bearing

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2024-09, Vol.238 (17), p.8924-8940

2024

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Weak fault detection of rolling element bearing combining robust EMD with adaptive maximum second-order cyclostationarity blind deconvolution

Journal of vibration and control, 2023-05, Vol.29 (9-10), p.2374-2391

2023

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Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model

Advances in mechanical engineering, 2020-06, Vol.12 (6)

2020

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Weak feature extraction of rolling element bearing based on self-adaptive blind de-convolution and enhanced envelope spectral

Journal of vibration and control, 2023-02, Vol.29 (3-4), p.611-624

2023

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LN-MRSCAE: A novel deep learning based denoising method for mechanical vibration signals

Journal of Vibration and Control, 2024-02, Vol.30 (3-4), p.459-471

2024

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Weak fault feature extraction using adaptive chirp mode decomposition with sparsity index regrouping scheme and time-delayed feedback stochastic resonance

Journal of vibration and control, 2023-08, Vol.29 (15-16), p.3606-3620

2023

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Fast Spectral Correlation Based on Sparse Representation Self-Learning Dictionary and Its Application in Fault Diagnosis of Rotating Machinery

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-14

2020

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A double-layer optimization method for forging process parameters of hinge beam structure and size of intermediate billet

Journal of Mechanical Science and Technology, 2023, 37(10), , pp.5307-5319

2023

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Feature extraction of latent fault components of rolling bearing based on self-learned sparse atomics and frequency band entropy

Journal of vibration and control, 2021-01, Vol.27 (1-2), p.208-219

2021

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Semi-supervised diagnosis method for coupling faults of key rotating components based on EEMD-KPCA under cross working conditions

Measurement science & technology, 2024-02, Vol.35 (2), p.25014

2024

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Intelligent Diagnosis of Rotating Machinery Based on Optimized Adaptive Learning Dictionary and 1DCNN

Applied sciences, 2021-12, Vol.11 (23), p.11325

2021

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A Feature Extraction Algorithm for Rolling Bearing Faults and Its Application

IEEE access, 2022, Vol.10, p.83498-83506

2022

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Time-Varying Degradation Model for Remaining Useful Life Prediction of Rolling Bearings under Variable Rotational Speed

Applied sciences, 2022-04, Vol.12 (8), p.4044

2022

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A Sparse Underdetermined Blind Source Separation Method and Its Application in Fault Diagnosis of Rotating Machinery

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-17

2020

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Study on the effect of curvature radius sudden change on mechanism characteristics for the constant-breadth two circular-arc cam mechanism with an inclined flat-faced follower

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2022-09, Vol.236 (17), p.9568-9588

2022

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An adaptive multi band-pass filter algorithm and its application in fault diagnosis of rolling bearing

Journal of Vibroengineering, 2021-03, Vol.23 (2), p.347-359

2021

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Structure optimization and contact law study for transmission linkage of manipulator grasping fragile parts

International journal of advanced robotic systems, 2024-09, Vol.21 (5)

2024

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Improved DCNN Based on Multi-Source Signals for Motor Compound Fault Diagnosis

Machines (Basel), 2022-04, Vol.10 (4), p.277

2022

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Forward kinematic analysis of a 3-RRRS mechanism with subordinate driving variables using a computer-aided geometric method

International journal of advanced robotic systems, 2019-07, Vol.16 (4), p.172988141987066

2019

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Early weak fault diagnosis of rolling element bearing based on resonance sparse decomposition and multi-objective information frequency band selection method

An improved quasi-zero stiffness isolator with two pairs of oblique springs to increase isolation frequency band

An adaptive model for time-varying speed fault diagnosis under strong noise interference

Diagnosis of rolling element bearing based on multifractal detrended fluctuation analyses and continuous hidden markov model

Maximum capacity and state of health estimation based on equivalent circuit model for degraded battery

Multi-source information deep fusion for rolling bearing fault diagnosis based on deep residual convolution neural network

An imbalance multi-faults data transfer learning diagnosis method based on finite element simulation optimization model of rolling bearing

Weak fault detection of rolling element bearing combining robust EMD with adaptive maximum second-order cyclostationarity blind deconvolution

Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model

Weak feature extraction of rolling element bearing based on self-adaptive blind de-convolution and enhanced envelope spectral

LN-MRSCAE: A novel deep learning based denoising method for mechanical vibration signals

Weak fault feature extraction using adaptive chirp mode decomposition with sparsity index regrouping scheme and time-delayed feedback stochastic resonance

Fast Spectral Correlation Based on Sparse Representation Self-Learning Dictionary and Its Application in Fault Diagnosis of Rotating Machinery

A double-layer optimization method for forging process parameters of hinge beam structure and size of intermediate billet

Feature extraction of latent fault components of rolling bearing based on self-learned sparse atomics and frequency band entropy

Semi-supervised diagnosis method for coupling faults of key rotating components based on EEMD-KPCA under cross working conditions

Intelligent Diagnosis of Rotating Machinery Based on Optimized Adaptive Learning Dictionary and 1DCNN

A Feature Extraction Algorithm for Rolling Bearing Faults and Its Application

Time-Varying Degradation Model for Remaining Useful Life Prediction of Rolling Bearings under Variable Rotational Speed

A Sparse Underdetermined Blind Source Separation Method and Its Application in Fault Diagnosis of Rotating Machinery

Study on the effect of curvature radius sudden change on mechanism characteristics for the constant-breadth two circular-arc cam mechanism with an inclined flat-faced follower

An adaptive multi band-pass filter algorithm and its application in fault diagnosis of rolling bearing

Structure optimization and contact law study for transmission linkage of manipulator grasping fragile parts

Improved DCNN Based on Multi-Source Signals for Motor Compound Fault Diagnosis

Forward kinematic analysis of a 3-RRRS mechanism with subordinate driving variables using a computer-aided geometric method

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