國立虎尾科技大學 |

Transportation Systems = Managing Performance through Advanced Maintenance Engineering /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Transportation Systems/ edited by Sarbjeet Singh, Alberto Martinetti, Arnab Majumdar, Leo A. M. van Dongen.
Reminder of title:	Managing Performance through Advanced Maintenance Engineering /
other author:	Singh, Sarbjeet.
Description:	X, 221 p. 85 illus., 64 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Big data. -
Online resource:	https://doi.org/10.1007/978-981-32-9323-6
ISBN:	9789813293236

Transportation Systems = Managing Performance through Advanced Maintenance Engineering /
Transportation SystemsManaging Performance through Advanced Maintenance Engineering /[electronic resource] :edited by Sarbjeet Singh, Alberto Martinetti, Arnab Majumdar, Leo A. M. van Dongen. - 1st ed. 2019. - X, 221 p. 85 illus., 64 illus. in color.online resource. - Asset Analytics, Performance and Safety Management,2522-5162. - Asset Analytics, Performance and Safety Management,.

Issues and Challenges in Transportation systems -- Human Factors for maintaining complex Transportation Systems -- Transportation Systems Safety -- Design for Maintenance Operations in Transportation systems -- Risk-based and condition-based maintenance -- Emergent Technologies in Maintenance Engineering -- Physical Phenomena for understanding transportation systems -- Big Data Analytics for maintaining transportation systems -- Smart Maintenance in Transportation systems -- Vocational courses and maintenance training -- Knowledge Management -- Accepting the unexpected.

This book explores the application of breakthrough technologies to improve transportation performance. Transportation systems represent the “blood vessels” of a society, in which people and goods travel. They also influence people’s lives and affect the liveability and sustainability of our cities. The book shows how emergent technologies are able to monitor the condition of the structure in real time in order to schedule the right moment for maintenance activities an so reduce the disturbance to users. This book is a valuable resource for those involved in research and development in this field. Part I discusses the context of transportation systems, highlighting the major issues and challenges, the importance of understating human factors that could affect the maintenance operations and the main goals in terms of safety standards. Part II focuses on process-oriented innovations in transportation systems; this section stresses the importance of including design parameters in the planning, offering a comparison between risk-based and condition-based maintenance and, lastly, showing applications of emergent technologies. Part III goes on to reflect on the technical-oriented innovations, discussing the importance of studying the physical phenomena that are behind transportation system failures and problems. It then introduces the general trend of collecting and analyzing big data using real-world cases to evaluate the positive and negative aspects of adopting extensive smart sensors for gathering information on the health of the assets. The last part (IV) explores cultural and behavioural changes, and new knowledge management methods, proposing novel forms of maintenance and vocational training, and introduces the need for radical new visions in transportation for managing unexpected events. The continuous evolution of maintenance fields suggests that this compendium of “state-of-the-art” applications will not be the only one; the authors are planning a collection of cutting-edge examples of transportation systems that can assist researchers and practitioners as well as students in the process of understanding the complex and multidisciplinary environment of maintenance engineering applied to the transport sector.

ISBN: 9789813293236

Standard No.: 10.1007/978-981-32-9323-6doiSubjects--Topical Terms:

981821
Big data.

LC Class. No.: HF5548.125-5548.6

Dewey Class. No.: 658.4038

Transportation Systems = Managing Performance through Advanced Maintenance Engineering /
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