Title :
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
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;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.757842
