DocumentCode :
3310166
Title :
Estimation of remaining useful life of ball bearings using data driven methodologies
Author :
Sutrisno, Edwin ; Oh, Hyunseok ; Vasan, Arvind Sai Sarathi ; Pecht, Michael
Author_Institution :
Center for Adv. Life Cycle Eng. (CALCE), Univ. of Maryland, College Park, MD, USA
fYear :
2012
fDate :
18-21 June 2012
Firstpage :
1
Lastpage :
7
Abstract :
This paper describes the three methodologies used by CALCE in their winning entry for the IEEE 2012 PHM Data Challenge competition. An experimental data set from seventeen ball bearings was provided by the FEMTO-ST Institute. The data set consisted of data from six bearings for algorithm training and data from eleven bearings for testing. The authors developed prognostic algorithms based on the data from the training bearings to estimate the remaining useful life of the test bearings. Three methodologies are presented in this paper. Result accuracies of the winning methodology are presented.
Keywords :
ball bearings; remaining life assessment; CALCE; Center for Advanced Life Cycle Engineering; FEMTO-ST Institute; IEEE 2012 PHM Data Challenge competition; algorithm training; ball bearings; prognostic algorithms; remaining useful life estimation; test bearings; training bearings; Degradation; Estimation; Feature extraction; Market research; Testing; Training; Vibrations; PHM Data Challenge; RUL; bearings; prognostics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Prognostics and Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4673-0356-9
Type :
conf
DOI :
10.1109/ICPHM.2012.6299548
Filename :
6299548
Link To Document :
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