INTELLIGENT AE SIGNAL FILTERING METHODS
Vera A. Barat, Yrij Borodin, Alexey Kuzmin · 2010
One problem of the acoustic emission (AE) testing is a high level of noise affecting the diagnosis results. Electric noise, electromagnetic interference, background acoustic noise, and rubbing noise are far from the full list of noise present during measurements. With the high level of noise, the operator has to increase the recording threshold of the AE impulses through reducing the testing sensitivity at the risk of missing a dangerous defect. Lack of the data filtering can result in an incorrect location and erroneous definition of the danger level of AE source. To improve the noise immunity of the AE system, the data filtering algorithms are to be used and examined in this paper.