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