RLS Identification Model of Bearing System

RLS parameter identification algorithm of bearing systems is presented in this work. The algorithm is validated using the average predicted output error and estimation error. Bayesian Information Criterion is used to define the order of this model. Finally, the Case Western Reserve University (CWRU) Bearing Data Center are used to offer the effectiveness of this algorithm.