1.

Record Nr.

UNINA9911034946603321

Autore

Qin Yong

Titolo

Intelligent Safety and Reliability Analysis of Rail Transit Trains / / by Yong Qin, Zhi-Peng Wang, Lin-Lin Kou, Xue-Jun Zhao, Yong Fu, Li-Min Jia

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

981-9741-70-X

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (278 pages)

Collana

Physics and Astronomy Series

Altri autori (Persone)

WangZhi-Peng

KouLin-Lin

ZhaoXue-Jun

FuYong

JiaLi-Min

Disciplina

625.26

Soggetti

Security systems

Railroad engineering

Measurement

Measuring instruments

Transportation engineering

Traffic engineering

Automatic control

Statistics

Security Science and Technology

Rail Vehicles

Measurement Science and Instrumentation

Transportation Technology and Traffic Engineering

Control and Systems Theory

Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Operational Risk Analysis of Railway Train Systems -- Service State Identification of Key Train Components Based on Artificial



Intelligence and Signal Processing -- Real-time Reliability Prediction of Key Components of Railway Train Based on Data-driven Method -- Multi-state Reliability Analysis of Railway Train Systems Based on the Network Flow Theory -- Optimization Methods for Multi-component Condition-based Maintenance of Rail Transit Train Systems -- Postface.

Sommario/riassunto

This book highlights a theoretical framework for architecting the safety and reliability analysis of rail transit trains for active safety assurance. Rail transit is compared to the main artery of regional economy and the backbone of urban travel. The safety and reliability of trains is directly associated with the punctuality and safety of passengers, as well as the transport capacity and efficiency of rail transit. High-intensity operation, complex working conditions, and external random interference have brought new challenges to the effective analysis of the safety and reliability of rail transit trains. The book provides a timely solution to the challenges by providing a theoretical framework that can improve the capacities of systematic, real-time, predictive reliability analysis, and enable it to guide the condition-based repair, operation and maintenance means. The book systematically covers topics including the train operation risk analysis methods, health identification and real-time reliability analysis of key train components, and the polymorphic reliability evaluation and the optimization methods of multi-component condition-based maintenance decision for train systems. It also conducts an in-depth discussion on new advances in safety assurance and health management of rail transit trains. The book can be used as a theoretical reference for postgraduate students in related majors and as a valuable handbook for engineers and technicians working on rail transit trains.