Yong Lv
Orcid: 0000-0003-2659-716X
According to our database1,
Yong Lv
authored at least 44 papers
between 2014 and 2024.
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Bibliography
2024
Int. J. Comput. Commun. Control, January, 2024
Variable-Bandwidth Self-Convergent Variational Mode Decomposition and its Application to Fault Diagnosis of Rolling Bearing.
IEEE Trans. Instrum. Meas., 2024
Self-Iterated Extracting Wavelet Transform and Its Application to Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2024
2023
High-Range and High-Linearity 2D Angle Measurement System for a Fast Steering Mirror.
Sensors, November, 2023
Edge Real-Time Object Detection and DPU-Based Hardware Implementation for Optical Remote Sensing Images.
Remote. Sens., August, 2023
IEEE Trans. Ind. Electron., July, 2023
Synchro-Reassigned Extracting Transform: An Effective Tool for Rotating Machinery Fault Diagnosis Under Varying Speed Condition.
IEEE Trans. Instrum. Meas., 2023
Galerkin Method for a Backward Problem of Time-Space Fractional Symmetric Diffusion Equation.
Symmetry, 2023
An Efficient End-to-End Lightweight Object Detection Method Based on YOLOv5 for Intelligent Sweeping Robots.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
2022
Matching Synchroextracting Transform for Mechanical Fault Diagnosis Under Variable-Speed Conditions.
IEEE Trans. Instrum. Meas., 2022
Remaining Useful Life Prediction of Rolling Bearings Based on Segmented Relative Phase Space Warping and Particle Filter.
IEEE Trans. Instrum. Meas., 2022
A Novel Multivariate Cutting Force-Based Tool Wear Monitoring Method Using One-Dimensional Convolutional Neural Network.
Sensors, 2022
Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition.
Sensors, 2022
Iteration regularization method for a sideways problem of time-fractional diffusion equation.
Numer. Algorithms, 2022
Bearing fault diagnosis using transfer learning and self-attention ensemble lightweight convolutional neural network.
Neurocomputing, 2022
An Inverted Residual based Lightweight Network for Object Detection in Sweeping Robots.
Appl. Intell., 2022
2021
A Rolling Bearing Fault Classification Scheme Based on k-Optimized Adaptive Local Iterative Filtering and Improved Multiscale Permutation Entropy.
Entropy, 2021
Object Detection for Sweeping Robots in Home Scenes (ODSR-IHS): A Novel Benchmark Dataset.
IEEE Access, 2021
Complementary Ensemble Adaptive Local Iterative Filtering and Its Application to Rolling Bearing Fault Diagnosis.
IEEE Access, 2021
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
2020
A Novel Fault Diagnosis Scheme for Rolling Bearing Based on Convex Optimization in Synchroextracting Chirplet Transform.
Sensors, 2020
Baseline-Free Adaptive Crack Localization for Operating Stepped Rotors Based on Multiscale Data Fusion.
Sensors, 2020
Adaptive Bipartite Consensus of Second-Order Multi-Agent Systems With Bounded Disturbances.
IEEE Access, 2020
Research on Multichannel Signals Fault Diagnosis for Bearing via Generalized Non-Convex Tensor Robust Principal Component Analysis and Tensor Singular Value Kurtosis.
IEEE Access, 2020
2019
A Novel Fault Feature Recognition Method for Time-Varying Signals and Its Application to Planetary Gearbox Fault Diagnosis under Variable Speed Conditions.
Sensors, 2019
A Novel Demodulation Analysis Technique for Bearing Fault Diagnosis via Energy Separation and Local Low-Rank Matrix Approximation.
Sensors, 2019
An Effective Bearing Fault Diagnosis Technique via Local Robust Principal Component Analysis and Multi-Scale Permutation Entropy.
Entropy, 2019
Robust Fault Diagnosis of Rolling Bearings Using Multivariate Intrinsic Multiscale Entropy Analysis and Neural Network Under Varying Operating Conditions.
IEEE Access, 2019
2018
Multi-Fault Diagnosis of Rolling Bearings via Adaptive Projection Intrinsically Transformed Multivariate Empirical Mode Decomposition and High Order Singular Value Decomposition.
Sensors, 2018
Trivariate Empirical Mode Decomposition via Convex Optimization for Rolling Bearing Condition Identification.
Sensors, 2018
Improved Dynamic Mode Decomposition and Its Application to Fault Diagnosis of Rolling Bearing.
Sensors, 2018
Optimized Adaptive Local Iterative Filtering Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis.
Entropy, 2018
A Joint Fault Diagnosis Scheme Based on Tensor Nuclear Norm Canonical Polyadic Decomposition and Multi-Scale Permutation Entropy for Gears.
Entropy, 2018
Optimized Dynamic Mode Decomposition via Non-Convex Regularization and Multiscale Permutation Entropy.
Entropy, 2018
Fault Diagnosis of Rolling Bearing Based on a Novel Adaptive High-Order Local Projection Denoising Method.
Complex., 2018
An Improved Anisotropic Diffusion of Cattle Follicle Ultrasound Images De-noising Algorithm.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
2017
Tensor Singular Spectrum Decomposition Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis.
Entropy, 2017
2015
Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum.
Sensors, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015
2014
An Energy Efficient Routing Based on Swarm Intelligence for Wireless Sensor Networks.
J. Softw., 2014
Proceedings of the 9th International Symposium on Communication Systems, 2014