Smooth Nonnegative Matrix Factorization for Defect Detection Using Microwave Nondestructive Testing and Evaluation. - Bin Gao 003; Hong Zhang 003; Wai Lok Woo; Gui Yun Tian 001; Libing Bai; Aijun Yin (IEEE Trans. Instrum. Meas., 2014)

Partial differential equation based image edge enhancement and its application in measuring shaft. - Chuande Zhou; Aijun Yin; Zelun Li; Yan Huang (URAI, 2016)

A Wind Turbine Bearing Performance Evaluation Method Based on Similarity Analysis of Fuzzy k-Principal Curves in Manifold Space. - Hongji Ren; Aijun Yin; Quan Zhou; Jiang Li; Yihua Hu 004 (IEEE Access, 2019)

Active Vibration Control of PID Based on Receptance Method. - Lijuan Peng; Jian Wang 084; Guicheng Yu; Zuoxue Wang; Aijun Yin; Hongji Ren (J. Sensors, 2020)

Fault Diagnosis of Wind Turbine Gearbox Based on the Optimized LSTM Neural Network with Cosine Loss. - Aijun Yin; Yinghua Yan; Zhiyu Zhang; Chuan Li 003; René-Vinicio Sánchez (Sensors, 2020)

A Coarse-to-Fine Method for Estimating the Axis Pose Based on 3D Point Clouds in Robotic Cylindrical Shaft-in-Hole Assembly. - Can Li; Ping Chen; Xin Xu; Xinyu Wang; Aijun Yin (Sensors, 2021)

Life Prediction of Battery Using a Neural Gaussian Process with Early Discharge Characteristics. - Aijun Yin; Zhibin Tan; Jian Tan (Sensors, 2021)

A New Axial Stress Measurement Method for High-Strength Short Bolts Based on Stress-Dependent Scattering Effect and Energy Attenuation Coefficient. - Tong Fu; Ping Chen; Aijun Yin (Sensors, 2022)

A Gaussian Process State Space Model Fusion Physical Model and Residual Analysis for Fatigue Evaluation. - Aijun Yin; Junlin Zhou; Tianyou Liang (Sensors, 2022)

Deep Probabilistic Learning for Process Quality Evaluation With a Case Study of Gear Hobbing Process. - Hongji Ren; Aijun Yin; Zongxian Dai; Yu Wang (IEEE Trans. Ind. Informatics, 2022)

Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process". - Hongji Ren; Aijun Yin; Zongxian Dai; Yu Wang (IEEE DataPort, 2022)

Multiscale Margin Disparity Adversarial Network Transfer Learning for Fault Diagnosis. - Kuangchi Sun; Zhenfeng Huang; Hanling Mao; Aijun Yin; Xinxin Li (IEEE Trans. Instrum. Meas., 2023)

Multisensor Graph Adaptive Federated Generalization for Helicopter Transmission System Fault Diagnosis. - Kuangchi Sun; Aijun Yin (IEEE Trans. Instrum. Meas., 2024)

Natural Gas TEG Dehydration Equipment Digital Twin and Condition Evaluation. - Aijun Yin; Hongji Ren; Shuai Wu (IEEE DataPort, 2024)

Natural Gas Triethylene Glycol Dehydration Equipment Digital Twin and Condition Evaluation Application. - Hongji Ren; Zongxian Dai; Jiexue Chen; Aijun Yin; Shuai Wu; Kun Wang; Xiang Li; Zhiyi Chen (IEEE Trans. Ind. Informatics, 2024)

A feature cross-fusion HGCN based on feature distillation denoising for fault diagnosis of helicopter tail drive system. - Zhaohui Qiao; Aijun Yin; Quan He; Shiao Lu; Yibo Wei (Expert Syst. Appl., 2025)

Multi-sensor temporal-spatial graph network fusion empirical mode decomposition convolution for machine fault diagnosis. - Kuangchi Sun; Aijun Yin (Inf. Fusion, 2025)

YOLO with feature enhancement and its application in intelligent assembly. - Fenglei Zheng; Aijun Yin; Chuande Zhou (Robotics Auton. Syst., 2025)