DocumentCode
515046
Title
A Probabillty Box and Dempster Shafer Structure Theory-Based Method for the Bearing Fault Pattern Recognition
Author
Du Yi ; Chi Yilin ; Wu Xing
Author_Institution
Kunming Univ. of Sci. & Technol., Kunming, China
Volume
1
fYear
2010
fDate
13-14 March 2010
Firstpage
301
Lastpage
305
Abstract
Probability Boxes and Demspter-Shafer Structures are new developing methods for handing with uncertainties. The methods are first used in machine fault diagnosis as a new information fusion method in this article. Contrasting the traditional power spectrum way, the result suggests that it is more efficient.
Keywords
inference mechanisms; pattern recognition; probability; Demstpter Shafer structure theory; bearing fault pattern recognition; machine fault diagnosis; power spectrum way; probability box; Automation; Distribution functions; Fault diagnosis; Frequency; Mechatronics; Pattern recognition; Probability distribution; Random variables; Uncertainty; Upper bound; Dempster-Shafe struture; fault diagosis; information fusion; pattern recognition; probibility box;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location
Changsha City
Print_ISBN
978-1-4244-5001-5
Electronic_ISBN
978-1-4244-5739-7
Type
conf
DOI
10.1109/ICMTMA.2010.16
Filename
5460206
Link To Document