Noise cancellation in vibration signals using an oversampling and two-stage autocorrelation model

While diagnosing or locating the source of equipment fault, noise is often superimposed on the sampled vibration signal data. This study proposes an oversampling and two-stage autocorrelation model for signal de-noising. Simulation shows the effect of denoising is not proportional to the number of autocorrelator. Using this model, the useful feature information submerged in noise is extracted effectively, and the signal data are restored to the original vibration state as far as possible. •Noise cancellation scheme (OA model) combining oversampling and two-stage autocorrelation is introduced.•Simulation shows the effect of de-noising is not proportional to the number of autocorrelation.•Simulation results show that the OA model is able to accomplish the task of de-noising effectively.