Quick search
Go!

APPLICATION OF MARKOV CHAIN FOR MONITORING THE BEARING ROLLER DEGRADATION


BOUZAOUIT A. 1, BENNIS O. 2, BENOTMANE Z. 3
1."LRPCSI Laboratory", University: 20th, August 1955 of Skikda, Algeria
2. PRISME Institute, Chartres, University of Orleans, France
3. Finance Division ARCELOR MITTAL, Annaba, Algeria

Issue:

JESR, Number 1, Volume XVII

Section:

Issue No. 1 - Volume 17 (2011)

Abstract:

The present study is an assessment to assign reference 2309CK bearings installed on a centrifugal fan from States expressing a (probability) level of degradation from "Good" to "Degraded". We seek to model the dynamics of change of state with a homogeneous Markov chain. In addition, it is possible to use the transition matrix associated to Markov chain to an operation analysis for the determination of the rotating machine reliability. The proposed model (transition matrix or graphic form) allows to know the turnover probability throughout life degradation.

Keywords:

conditional maintenance, bearings, Markov chain, statistical analysis.

Code [ID]:

JESR201101V17S01A0001 [0003360]

Full paper:

Download pdf


Copyright (c) 1995-2007 University of Bacău