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Deep Learning-Based Detection of Catenary Support Component Defect and Fault in
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Located in: Fairfield, Ohio, United States
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Estimated between Thu, 27 Jun and Tue, 9 Jul to 43230
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eBay item number:364755999453
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9789819909520
- Type
- NA
- Publication Name
- NA
- ISBN
- 9789819909520
- Publication Year
- 2023
- Format
- Hardcover
- Language
- English
- Book Title
- Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
- Illustrator
- Yes
- Book Series
- Advances in High-Speed Rail Technology Ser.
- Publisher
- Springer
- Genre
- Technology & Engineering, Computers
- Item Length
- 9.3 in
- Topic
- Intelligence (Ai) & Semantics, Electronics / General, Automotive
- Item Width
- 6.1 in
About this product
Product Information
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 shows the latest research results of catenary detection in high-speed railways, especially the detection of catenary support component defect and fault. Some methods or algorithms have been adopted in practical engineering. These methods or algorithms provide important references and help the researcher, scholar, and engineer on pantograph and catenary technology in high-speed railways. Unlike traditional detection methods of catenary support component based on image processing, some advanced methods in the deep learning field, including convolutional neural network, reinforcement learning, generative adversarial network, etc., are adopted and improved in this book. The main contents include the overview of catenary detection of electrified railways, the introduction of some advance of deep learning theories, catenary support components and their characteristics in high-speed railways, the image reprocessing of catenary support components, the positioning of catenary support components, the detection of defect and fault, the detection based on 3D point cloud, etc.
Product Identifiers
Publisher
Springer
ISBN-10
981990952x
ISBN-13
9789819909520
eBay Product ID (ePID)
7059022623
Product Key Features
Book Title
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Language
English
Publication Year
2023
Topic
Intelligence (Ai) & Semantics, Electronics / General, Automotive
Illustrator
Yes
Genre
Technology & Engineering, Computers
Book Series
Advances in High-Speed Rail Technology Ser.
Format
Hardcover
Dimensions
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Tl1-483
Table of Content
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 Cloud.
Copyright Date
2023
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:364755999453
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Item location:
Fairfield, Ohio, United States
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Packed very securely and arrived quickly. Highly recommend this Seller.
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Received it right away and it looks great. Thank you so much.
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