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Linlin Kou
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2020 – today
- 2026
[j14]Yang Gao
, Yong Qin, Zhiwei Cao
, Lirong Lian, Yaguan Wang, Linlin Kou, Genwang Peng:
MMLight: Lightweight unsupervised multi-modal feature fusion method for track defect detection. Neurocomputing 685: 133643 (2026)- 2025
[j13]Linlin Kou
, Shenggang Yan
, Jianguo Liu
, Junbo Zhang, Jihua Leng
, Jie Wang, Rui An:
The Investigation of Underwater Wireless Optical Communication Channel Fading in Multisize Particles, Bubbles, and Turbulence. IEEE Internet Things J. 12(24): 52293-52307 (2025)
[j12]Yang Gao
, Zhiwei Cao
, Yong Qin
, Lirong Lian
, Linlin Kou
, Yaguan Wang
:
Segmented-Aggregated Framework With Internal-External Constraint Mechanism for Unsupervised Track Anomaly Detection. IEEE Trans. Instrum. Meas. 74: 1-12 (2025)
[j11]Wentao Mao
, Na Wang
, Linlin Kou
, Ke Feng
:
Wavelet Scattering Transformer: A Robust Rail Corrugation Detection Method Under Varying Speed Condition Based on Multiscale Time-Frequency Feature Representation. IEEE Trans. Instrum. Meas. 74: 1-12 (2025)
[j10]Yadong Xu
, Sheng Li
, Ke Feng
, Beibei Sun
, Xiaolong Yang
, Linlin Kou
, Zhiheng Zhao
, George Q. Huang
:
Multiperspective Temporal Pooling Convolutional Neural Networks for Fault Diagnosis of Mechanical Transmission Systems. IEEE Trans. Instrum. Meas. 74: 1-12 (2025)- 2024
[j9]Wentao Mao
, Yu Wang
, Ke Feng
, Linlin Kou
, Yanna Zhang
:
SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning. IEEE Trans. Instrum. Meas. 73: 1-13 (2024)- 2023
[j8]Wentao Mao, Gangsheng Wang, Linlin Kou, Xihui Liang:
Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning. IEEE CAA J. Autom. Sinica 10(2): 524-546 (2023)
[j7]Wentao Mao
, Yu Wang
, Linlin Kou
, Xihui Liang
:
A New Deep Tensor Autoencoder Network for Unsupervised Health Indicator Construction and Degradation State Evaluation of Metro Wheel. IEEE Trans. Instrum. Meas. 72: 1-15 (2023)- 2022
[j6]Linlin Kou
, Jiaxian Chen, Yong Qin, Wentao Mao
:
The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings. Sensors 22(15): 5681 (2022)- 2020
[j5]Linlin Kou
, Yong Qin
, Xuejun Zhao, Xinan Chen:
A Multi-Dimension End-to-End CNN Model for Rotating Devices Fault Diagnosis on High-Speed Train Bogie. IEEE Trans. Veh. Technol. 69(3): 2513-2524 (2020)
2010 – 2019
- 2019
[j4]Xuejun Zhao, Yong Qin, Changbo He, Limin Jia, Linlin Kou:
Rolling Element Bearing Fault Diagnosis under Impulsive Noise Environment Based on Cyclic Correntropy Spectrum. Entropy 21(1): 50 (2019)- 2018
[j3]Linlin Kou, Yong Qin, Limin Jia, Yong Fu:
Multistate Reliability Evaluation of Bogie on High Speed Railway Vehicle Based on the Network Flow Theory. Int. J. Softw. Eng. Knowl. Eng. 28(4): 431-452 (2018)
[j2]Zhipeng Wang
, Limin Jia, Linlin Kou, Yong Qin:
Spectral Kurtosis Entropy and Weighted SaE-ELM for Bogie Fault Diagnosis under Variable Conditions. Sensors 18(6): 1705 (2018)
[c1]Xuejun Zhao, Yong Qin, Linlin Kou, Zhiliang Liu:
Understanding real faults of axle box bearings based on vibration data using decision tree. ICPHM 2018: 1-5- 2015
[j1]Yong Qin, Zhenyu Zhang
, Xinwang Liu
, Man Li
, Linlin Kou:
Dynamic risk assessment of metro station with interval type-2 fuzzy set and TOPSIS method. J. Intell. Fuzzy Syst. 29(1): 93-106 (2015)
Coauthor Index

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