A model-based technique for the fault detection of rolling element bearings using detection filter design and sliding mode technique

Author

Afshari, Nader ; Loparo, Kenneth A.

Author_Institution

Dept. of Syst., Control, & Ind. Eng., Case Western Reserve Univ., Cleveland, OH, USA

Volume

3

fYear

1998

fDate

1998

Firstpage

2593

Abstract

A model-based technique for the fault detection of rolling element bearings in a rotor-bearing system is presented. First, a one-dimensional, multiple degree-of-freedom vibration model for rotor-bearing systems is derived. Based on the theory of detection filter design, two outputs (inner and outer ring acceleration) are defined to enable the detection of inner and outer raceway faults. Simulation is used to illustrate the results of the detection filter. Moreover, due to the noise susceptibility of vibration signals a robust monitoring system, a sliding mode detector, is presented. The sliding mode detector is capable of isolating fault surfaces in the residual space of the detection filter

Keywords

fault location; filtering theory; machine bearings; monitoring; noise; vibrations; 1D multi-DOF vibration model; detection filter design; fault detection; fault surface isolation; inner ring acceleration; model-based technique; noise susceptibility; outer ring acceleration; raceway faults; residual space; robust monitoring system; rolling element bearings; rotor-bearing system; sliding mode technique; Condition monitoring; Damping; Detection algorithms; Detectors; Fault detection; Filters; Noise robustness; Rolling bearings; Space technology; Vibration measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1998. Proceedings of the 37th IEEE Conference on

Conference_Location

Tampa, FL

ISSN

0191-2216

Print_ISBN

0-7803-4394-8

Type

conf

DOI

10.1109/CDC.1998.757842

Filename

757842