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
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;
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
DOI :
10.1109/ICMTMA.2010.16
