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Publisher ‏ : ‎ Springer; 1st ed. 2020 edition (April 26, 2020)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 173 pages
ISBN-10 ‏ : ‎ 3030462625
ISBN-13 ‏ : ‎ 978-3030462628
Item Weight ‏ : ‎ 15 ounces
Dimensions ‏ : ‎ 6.14 x 0.44 x 9.21 inches

Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains (Lecture Notes in Intelligent Transportation and Infrastructure)

In this post, we will explore the latest research and developments in the field of data-driven detection and diagnosis of faults in traction systems of high-speed trains. With the increasing complexity and sophistication of modern train systems, it has become crucial to have efficient and accurate methods for detecting and diagnosing faults to ensure the safety and reliability of high-speed trains.

The lecture notes in intelligent transportation and infrastructure provide insights into the use of data-driven approaches, such as machine learning and artificial intelligence, to analyze and interpret data from traction systems. These methods allow for the early detection of potential faults, as well as the identification of their root causes, leading to faster and more effective maintenance and repair strategies.

By leveraging data-driven techniques, researchers and practitioners in the field of transportation and infrastructure are able to improve the overall performance and efficiency of high-speed train systems, ultimately enhancing passenger safety and comfort.

Stay tuned for more updates on the latest advancements in data-driven detection and diagnosis of faults in traction systems of high-speed trains.
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