This paper presents a bearing run-to-failure data simulation model for condition based maintenance, in which a single point outrace fault can be implemented. According to the characteristic that bearing life follows the Weibull distribution, amount of bearing run-to-failure datasets can be simulated which can be used to verify the feature extraction, remaining useful life prediction and maintenance decision methods particularly the methods which use Proportional hazard model. A case study simulating 6205-2RS JEM SKF bearing run-to-failure data is done detailed. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3607
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