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Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains (Paperback, 1st ed. 2020) Loot Price: R2,927
Discovery Miles 29 270
Repayment Terms: R274 pm x 12*
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Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains (Paperback, 1st ed. 2020): Hongtian...

Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains (Paperback, 1st ed. 2020)

Hongtian Chen, Bin Jiang, Ningyun Lu, Wen Chen

Series: Lecture Notes in Intelligent Transportation and Infrastructure

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Loot Price R2,927 Discovery Miles 29 270 | Repayment Terms: R274 pm x 12*

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This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Intelligent Transportation and Infrastructure
Release date: April 2021
First published: 2020
Authors: Hongtian Chen • Bin Jiang • Ningyun Lu • Wen Chen
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 160
Edition: 1st ed. 2020
ISBN-13: 978-3-03-046265-9
Categories: Books > Professional & Technical > Transport technology > Intelligent & automated transport system technology
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Business & Economics > Industry & industrial studies > Transport industries > Railway transport industries > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 3-03-046265-X
Barcode: 9783030462659

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