Linlin Kou

According to our database, Linlin Kou authored at least 15 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MMLight: Lightweight unsupervised multi-modal feature fusion method for track defect detection.

Yang Gao, Yong Qin, Zhiwei Cao, Lirong Lian, Yaguan Wang, Linlin Kou, Genwang Peng

Neurocomputing, 2026

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

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

Segmented-Aggregated Framework With Internal-External Constraint Mechanism for Unsupervised Track Anomaly Detection.

Yang Gao, Zhiwei Cao, Yong Qin, Lirong Lian, Linlin Kou, Yaguan Wang

IEEE Trans. Instrum. Meas., 2025

The Investigation of Underwater Wireless Optical Communication Channel Fading in Multisize Particles, Bubbles, and Turbulence.

Linlin Kou, Shenggang Yan, Jianguo Liu, Junbo Zhang, Jihua Leng, Jie Wang, Rui An

IEEE Internet Things J., 2025

2024

SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning.

Wentao Mao, Yu Wang, Ke Feng, Linlin Kou, Yanna Zhang

IEEE Trans. Instrum. Meas., 2024

2023

A New Deep Tensor Autoencoder Network for Unsupervised Health Indicator Construction and Degradation State Evaluation of Metro Wheel.

Wentao Mao, Yu Wang, Linlin Kou, Xihui Liang

IEEE Trans. Instrum. Meas., 2023

Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning.

Wentao Mao, Gangsheng Wang, Linlin Kou, Xihui Liang

IEEE CAA J. Autom. Sinica, 2023

2022

The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings.

Linlin Kou, Jiaxian Chen, Yong Qin, Wentao Mao

Sensors, 2022

2020

A Multi-Dimension End-to-End CNN Model for Rotating Devices Fault Diagnosis on High-Speed Train Bogie.

Linlin Kou, Yong Qin, Xuejun Zhao, Xinan Chen

IEEE Trans. Veh. Technol., 2020

2019

Rolling Element Bearing Fault Diagnosis under Impulsive Noise Environment Based on Cyclic Correntropy Spectrum.

Xuejun Zhao, Yong Qin, Changbo He, Limin Jia, Linlin Kou

Entropy, 2019

2018

Spectral Kurtosis Entropy and Weighted SaE-ELM for Bogie Fault Diagnosis under Variable Conditions.

Zhipeng Wang, Limin Jia, Linlin Kou, Yong Qin

Sensors, 2018

Multistate Reliability Evaluation of Bogie on High Speed Railway Vehicle Based on the Network Flow Theory.

Linlin Kou, Yong Qin, Limin Jia, Yong Fu

Int. J. Softw. Eng. Knowl. Eng., 2018

Understanding real faults of axle box bearings based on vibration data using decision tree.

Xuejun Zhao, Yong Qin, Linlin Kou, Zhiliang Liu

Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2015

Dynamic risk assessment of metro station with interval type-2 fuzzy set and TOPSIS method.

Yong Qin, Zhenyu Zhang, Xinwang Liu, Man Li, Linlin Kou

J. Intell. Fuzzy Syst., 2015