| Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
|---|---|---|
| Article Number | 02010 | |
| Number of page(s) | 8 | |
| Section | Part 2: Internet +, Big data and Flexible manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201710002010 | |
| Published online | 08 March 2017 | |
Study on Operational Availability Relational Model of RMS
1 College of Power Engineering, Naval University of Engineering, Wuhan, China
2 Military Key Laboratory for Naval Ship Power Engineering, Naval University of Engineering, Wuhan, China
Email: kevin10001@163.com
This paper is about a research of the relationship between equipment’s reliability, maintainability, supportability and operational availability. It investigates the influencing factors of operational availability, analyzes the maintenance strategies of equipment and specifies distribution types. Based on these findings and Markow process, it then deduces computational model of operational availability. It also defines reliability, maintainability, supportability and other constraint condition and establishes optimizing equations to find feasible solution and optimal solution. At last, it tests correctness and feasibility of established model by case study. After knowing the requirement of operational availability and operational method provided here to define corresponding level of reliability, maintainability, supportability, it transforms operational-using requirement to technical design requirement in support for further research.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.