Issue |
E3S Web Conf.
Volume 243, 2021
The 5th International Conference on Power, Energy and Mechanical Engineering (ICPEME 2021)
|
|
---|---|---|
Article Number | 02003 | |
Number of page(s) | 4 | |
Section | Mechanical Engineering and Industrial Automation | |
DOI | https://doi.org/10.1051/e3sconf/202124302003 | |
Published online | 11 March 2021 |
Research on Reactor Condition Evaluation Method Based on Acoustic Vibration Characteristic Parameters and Weight Factors
1 China Electric Power Research Institute, High Voltage Research Institute, 15 Xiaoying East Road, Qinghe, Haidian District, Beijing, China
2 Electric Power Research Institute, Hebei Electric Power Co., Ltd, 238 South TIYU street, Shijiazhuang, China
3 Equipment Management Department, State Grid Corporation Limited, 86 West Chang'an Street, Xicheng District, Beijing, China
* Corresponding author:jiapengfei@epri.sgcc.com.cn
Compared with the traditional reactor abnormal state detection method, the acoustic vibration detection method combines the advantages of acoustic detection and vibration detection, which has the advantages of simple installation, strong portability and good signal integrity, and has a broad application prospect. In this paper, the characteristic parameters of reactor acoustic vibration, including sound pressure level, sound power level, acoustic signal spectrum, vibration amplitude, vibration acceleration value, vibration signal spectrum, harmonic proportion and frequency complexity, are obtained to analyze the range and distribution rule of each characteristic parameter under long-term operation condition of reactor, and the weight factor of each characteristic parameter is determined by analytic hierarchy process On the basis of fuzzy reasoning, the state evaluation model of reactor is established.
© The Authors, published by EDP Sciences, 2021
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.