CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 10836 > Article
Paper
29 October 2018 Automatic fault identification of rotating machinery based on Hu invariant moment
Bo Wu, Na Ma, JianFeng Yu , SongLin Feng, Jia Mao
Author Affiliations +
Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 108361Q (2018) https://doi.org/10.1117/12.2514561
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China
Abstract
Based on the analysis of rotor fault and its corresponding axial trajectory, the simulation of axial trajectory is carried out by using MATLAB. According to the automatic identification of axis locus of rotating machinery, a characterization of axial trajectory based on Hu invariant moment is studied. The frequency characteristic of the vibration signal improves the search strategy of the matching algorithm, and proposes a fast matching method with variable step size. The method consists of two parts, rough matching and fine matching. The coarse matching ensures the fastness of the algorithm and quick classification of the running state. The fine matching ensures the accuracy of the matching result. The results show that the feature of the axis locus extracted by Hu invariant moments The recognition rate of rotating machinery can provide a reference for the automatic identification of rotor fault diagnosis.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Bo Wu, Na Ma, JianFeng Yu , SongLin Feng, and Jia Mao "Automatic fault identification of rotating machinery based on Hu invariant moment", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108361Q (29 October 2018); https://doi.org/10.1117/12.2514561
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
;
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms
Feature extraction
Analytical research
Computer simulations
Diagnostics
MATLAB
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top