Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
by
Liu, Zhigang. author.
Title
:
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Author
:
Liu, Zhigang. author.
ISBN
:
9789819909537
Edition
:
1st ed. 2023.
Physical Description
:
XIII, 239 p. 212 illus., 149 illus. in color. online resource.
Series
:
Advances in High-speed Rail Technology,
Contents
:
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.
Subject Term
:
Railroad engineering.
Machine learning.
Signal processing.
Quantitative research.
Transportation engineering.
Traffic engineering.
Artificial intelligence.
Rail Vehicles.
Signal, Speech and Image Processing.
Data Analysis and Big Data.
Transportation Technology and Traffic Engineering.
Added Author
:
Liu, Wenqiang.
Zhong, Junping.
Added Corporate Author
:
SpringerLink (Online service)
Electronic Access
:
| Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
|---|
| Online Library | E-Book | 527708-1001 | ONLINE | | Elektronik Kütüphane |