A Cascade Learning Approach for Automated Detection of Locomotive Speed Sensor Using Imbalanced Data in ITS

A Cascade Learning Approach for Automated Detection of Locomotive Speed Sensor Using Imbalanced Data in ITS

Automatic and intelligent railway locomotive inspection and maintenance are fundamental issues in high-speed rail applications and intelligent transportation system (ITS). Traditional locomotive equipment inspection is carried out manually on-site by workers, and the task is exhausting, cumbersome,...

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Bibliographic Details
Main Authors: Bo Li, Sisi Zhou, Lifang Cheng, Rongbo Zhu, Tao Hu, Ashiq Anjum, Zheng He, Yongkai Zou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cascade learning
speed sensor detection
imbalanced data
ensemble learning
Online Access:https://ieeexplore.ieee.org/document/8759938/

Internet

https://ieeexplore.ieee.org/document/8759938/

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