Εξώφυλλο

Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways

This book focuses on the deep learning technologies and their applications in the catenary detection of high-speed railways. As the only source of power for high-speed trains, the catenary's service performance directly affects the safe operation of high-speed railways. This book systematically...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Liu, Zhigang (Συγγραφέας), Liu, Wenqiang (Συγγραφέας), Zhong, Junping (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:Αγγλικά
Έκδοση: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Έκδοση:1st ed. 2023.
Σειρά:Advances in High-speed Rail Technology,
Θέματα:
Railroad engineering.
Machine learning.
Signal processing.
Quantitative research.
Transportation engineering.
Traffic engineering.
Artificial intelligence.
Rail Vehicles.
Machine Learning.
Signal, Speech and Image Processing.
Data Analysis and Big Data.
Transportation Technology and Traffic Engineering.
Artificial Intelligence.
Διαθέσιμο Online:https://doi.org/10.1007/978-981-99-0953-7
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Πίνακας περιεχομένων:
  • Overview of Catenary Detection of Electrified Railways
  • Advance of Deep Learning
  • Catenary Support Components and their Characteristics in High-speed Railways
  • Preprocessing of Catenary Support Components’ Images
  • Positioning of Catenary Support Components
  • Detection of Catenary Support Component Defect and Fault
  • Detection of The parameters of Catenary Support Devices based on 3D Point Clouds.

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