ITM Web Conf.
Volume 11, 20172017 International Conference on Information Science and Technology (IST 2017)
|Number of page(s)||6|
|Section||Session VII: Control and Automation|
|Published online||23 May 2017|
Review on Development of Fault Diagnosis for Gyroscope
1 School of automation and Information Engineering, Xi’an University of Technology, 710048, Xi’an, China
2 Foshan University, 528000, Foshan, China
a Corresponding author: Hu Shaolin, firstname.lastname@example.org
Gyroscope is a core part of navigation system, whose working stability and reliability directly affects the navigation performance of navigation system. Therefore, in order to ensure the precision and reliability of navigation system, it is very important to develop the techniques of fault diagnosis for gyroscope. First, the development of gyroscope’s history and the background and significance of fault diagnosis for gyroscope is introduced in this paper. Then, the influence factors of abnormal faults in the running of gyroscope are analyzed in this paper, and the faults are classified into different types according to the feature of faults for gyroscope. Second, there are some main algorithms of fault diagnosis for gyroscope, such as support vector machine, wavelet analysis and neural network etc. Finally, aiming at the development status of fault diagnosis for gyroscope, the current existing problems of fault diagnosis for gyroscope are summarized, and the future development and application of fault diagnosis for gyroscope are prospected.
© Owned by 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.