Statistical damage detection in a stationary rotor systems through time series analysis

a novel approach to detect damage in stationary rotating systems excited by unbalance and stochastic forces is presented. the methodology is based solely on output time series measured at the bearings stations. the method deals with the application of auto-regressive models and statistical modeling for the linear prediction of damage diagnosis. the results showed that the approach is suitable for practical applications.