| Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
|---|---|---|
| Article Number | 05016 | |
| Number of page(s) | 3 | |
| Section | Chemical Engineering and Materials Science | |
| DOI | https://doi.org/10.1051/e3sconf/202016505016 | |
| Published online | 01 May 2020 | |
A fault identification method for marine auxiliary machinery
1 Wuhan Second Ship Design and Research Institute, Wuhan, 430205, China
2 HainanUniversity, Haikou, Hainan, 570228, China
atangfang008@163.com, b497442961@qq.com, cxjhwj666@163.com, dbeyondlpx@163.com
A large number of auxiliary equipment is set up on the shipping system, most of them is rotating machinery and in working state for most of the time, it is very important to identify health condition of equipment to find early damage and avoid fatal failure. Acoustic emission is based on rapid release of energy in case of material deformation or cracking. Auxiliary equipment will continue to emit acoustic signals, which is collected by means of a protable detection device in this paper, parameters like RMS, Peak Factor are calculated to identify health condition in time domain. Through laboratory simulation test and real ship test, the result shows that by comparing the parameters of acoustic emission signal, health condition or its change trend can be obtained, early failure of equipment can be prevented.
© The Authors, published by EDP Sciences, 2020
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.