Dynamic risk assessment of metro station with interval type-2 fuzzy set and TOPSIS method. - Yong Qin 002; Zhenyu Zhang 010; Xinwang Liu 001; Man Li; Linlin Kou (J. Intell. Fuzzy Syst., 2015)

Understanding real faults of axle box bearings based on vibration data using decision tree. - Xuejun Zhao; Yong Qin 002; Linlin Kou; Zhiliang Liu (ICPHM, 2018)

Multistate Reliability Evaluation of Bogie on High Speed Railway Vehicle Based on the Network Flow Theory. - Linlin Kou; Yong Qin 002; Limin Jia 002; Yong Fu (Int. J. Softw. Eng. Knowl. Eng., 2018)

Spectral Kurtosis Entropy and Weighted SaE-ELM for Bogie Fault Diagnosis under Variable Conditions. - Zhipeng Wang 002; Limin Jia 002; Linlin Kou; Yong Qin 002 (Sensors, 2018)

Rolling Element Bearing Fault Diagnosis under Impulsive Noise Environment Based on Cyclic Correntropy Spectrum. - Xuejun Zhao; Yong Qin 002; Changbo He; Limin Jia 002; Linlin Kou (Entropy, 2019)

A Multi-Dimension End-to-End CNN Model for Rotating Devices Fault Diagnosis on High-Speed Train Bogie. - Linlin Kou; Yong Qin 002; Xuejun Zhao; Xinan Chen (IEEE Trans. Veh. Technol., 2020)

The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings. - Linlin Kou; Jiaxian Chen; Yong Qin 002; Wentao Mao (Sensors, 2022)

Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning. - Wentao Mao; Gangsheng Wang; Linlin Kou; Xihui Liang (IEEE CAA J. Autom. Sinica, 2023)

A New Deep Tensor Autoencoder Network for Unsupervised Health Indicator Construction and Degradation State Evaluation of Metro Wheel. - Wentao Mao; Yu Wang 259; Linlin Kou; Xihui Liang (IEEE Trans. Instrum. Meas., 2023)

SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning. - Wentao Mao; Yu Wang 259; Ke Feng; Linlin Kou; Yanna Zhang 001 (IEEE Trans. Instrum. Meas., 2024)

Segmented-Aggregated Framework With Internal-External Constraint Mechanism for Unsupervised Track Anomaly Detection. - Yang Gao; Zhiwei Cao; Yong Qin 002; Lirong Lian; Linlin Kou; Yaguan Wang (IEEE Trans. Instrum. Meas., 2025)

Wavelet Scattering Transformer: A Robust Rail Corrugation Detection Method Under Varying Speed Condition Based on Multiscale Time-Frequency Feature Representation. - Wentao Mao; Na Wang; Linlin Kou; Ke Feng (IEEE Trans. Instrum. Meas., 2025)

Multiperspective Temporal Pooling Convolutional Neural Networks for Fault Diagnosis of Mechanical Transmission Systems. - Yadong Xu; Sheng Li; Ke Feng; Beibei Sun; Xiaolong Yang; Linlin Kou; Zhiheng Zhao; George Q. Huang (IEEE Trans. Instrum. Meas., 2025)