Lei Su

发表

Automated X-ray recognition of solder bump defects based on ensemble-ELM

T. Shi, G. Liao, Lei Su, 2019, Science China Technological Sciences.

An improved empirical wavelet transform method for rolling bearing fault diagnosis

Michael Pecht, Lei Su, Ke Li, 2020, Science China Technological Sciences.

Using GA-SVM for defect inspection of flip chips based on vibration signals

Ke Li, Qiuju Zhang, Lei Su, 2018, Microelectron. Reliab..

Defect inspection of flip chip solder joints based on non-destructive methods: A review

M. Pecht, Lei Su, Ke Li, 2020 .

A Macroscopic Strength Criterion for Isotropic Metals Based on the Concept of Fracture Plane

Lei Su, Ke Li, Puhui Chen, 2019, Metals.

Modified nonlinear Mohr–Coulomb fracture criteria for isotropic materials and transversely isotropic UD composites

Lei Su, Ke Li, Jiefei Gu, 2020 .

An improved orthogonal matching pursuit method for denoising high-frequency ultrasonic detection signals of flip chips

G. Wang, Lei Su, Ke Li, 2023, Mechanical Systems and Signal Processing.

An improved empirical wavelet transform method for rolling bearing fault diagnosis

Lei Su, Ke Li, Hairun Huang, 2020, Science China Technological Sciences.

Rotating machinery fault detection and diagnosis based on deep domain adaptation: A survey

Lei Su, Ke Li, Lang Zhou, 2021, Chinese Journal of Aeronautics.

A theoretical and experimental assessment of 3D macroscopic failure criteria for predicting pure inter-fiber fracture of transversely isotropic UD composites

Puhui Chen, Jiefei Gu, Lei Su, 2021 .

Fault diagnosis of rolling bearings based on generative adversarial network and convolutional denoising auto-encoder

Lei Su, Ke Li, Wensheng Su, 2022, Journal of Advanced Manufacturing Science and Technology.

Visual inspection of steel surface defects based on domain adaptation and adaptive convolutional neural network

Qiuju Zhang, Michael Pecht, Jiefei Gu, 2021 .

A novel fault diagnosis algorithm for rotating machinery based on a sparsity and neighborhood preserving deep extreme learning machine

Fucai Li, Ke Li, Jingjing Wu, 2019, Neurocomputing.

A Rolling Bearing Fault Diagnosis Method Based on Variational Mode Decomposition and an Improved Kernel Extreme Learning Machine

Huaqing Wang, Peng Chen, Ke Li, 2017 .

A Continuum Damage Model for Intralaminar Progressive Failure Analysis of CFRP Laminates Based on the Modified Puck’s Theory

Lei Su, Ke Li, Jiefei Gu, 2019, Materials.

Sparse Reconstruction for Microdefect Detection of Two-Dimensional Ultrasound Image Based on Blind Estimation

Michael Pecht, Lei Su, Ke Li, 2021, IEEE Transactions on Industrial Electronics.

Simulation Research on Sparse Reconstruction for Defect Signals of Flip Chip Based on High-Frequency Ultrasound

Lei Su, Xiaonan Yu, Jiefei Gu, 2020, Applied Sciences.

Simulation and Experimental Verification of Edge Blurring Phenomenon in Microdefect Inspection Based on High-Frequency Ultrasound

Ke Li, Michael Pecht, Xiaonan Yu, 2019, IEEE Access.

A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine

Peng Chen, Ke Li, Rui Zhang, 2019, IEEE Access.

A novel approach for flip chip inspection based on improved SDELM and vibration signals

Lei Su, Ke Li, Jiefei Gu, 2022, Science China Technological Sciences.

New Particle Filter Based on GA for Equipment Remaining Useful Life Prediction

Peng Chen, Ke Li, Qiuju Zhang, 2017, Sensors.

Category-level selective dual-adversarial network using significance-augmented unsupervised domain adaptation for surface defect detection

Lei Su, Ke Li, Jiefei Gu, 2023, Expert Syst. Appl..