| Citation: | LUAN Xiaochi, SHA Yundong, LI Zhuang, et al. Damage extent identification method of typical rolling bearing faults based on acoustic emission multi-parameter fusion[J]. Journal of Aerospace Power, 2024, 39（8）：20220512 doi: 10.13224/j.cnki.jasp.20220512
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In view of the problem in identifying the damage extent of typical rolling bearing faults, based on acoustic emission parameter analysis and waveform flow analysis methods, the time arrival feature index (TAFI), count, number of hits and energy were combined, and the non-dimensional parameter fault factor as the ratio of the peak power of the fault characteristic frequency to the average power in the frequency band between its adjacent octave was introduced. An identification method of the damage extent for typical rolling bearing faults based on acoustic emission multi-parameter fusion was proposed. In order to verify the identification effect of this method on the damage extent of typical rolling bearing faults, a test bench for simulating typical rolling bearing faults was built. Test was carried out and the acoustic emission signals of rolling bearing with two defects of serious damage caused by wire-cutting and weak damage caused by pitting caused were collected. The identification method proposed was applied to the acoustic emission signals of typical faulty bearings and healthy bearings measured under the same speed conditions. The results showed that the acoustic emission characteristic parameter TAFI can preliminarily determine whether the bearing was faulty, the count and number of hits can effectively identify the fault types of rolling bearings. The characteristic parameter energy can effectively identify different damage extents of the rolling bearing with outer ring fault and rolling element fault. The fault factor parameter was introduced to characterize the damage degree of rolling bearings with different defects, and the different damage extents of rolling bearing with typical faults were effectively identified through the numerical differences of the fault factors of 1−5 times fault characteristic frequency between wire-cutting and pitting defects, which made up for the lack of fault damage extent identification of inner ring fault with characteristic parameter energy. This method can effectively identify different damage extents of typical rolling bearing faults.
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