Abstract: |
For the fault diagnosis of rolling bearings in armored vehicles, traditional electrical sensors are difficult to adapt to the harsh environment full of electromagnetic interference and oil stains inside armored vehicles. Therefore, in this paper, a fiber Bragg grating vibration sensor with small volume and anti electromagnetic interference is used to collect rolling bearing fault signals. Combined with the resonance demodulation technology, fault vibration frequencies are separated from vibration signals and compared with the bearing fault frequency table to realize the differentiation of rolling bearing fault types. By presetting defects in the inner and outer rings of rolling bearings, and using the bearing test bench to simulate the actual operation of the armored vehicle at different rotational speeds, the feasibility of this method is verified. The experimental results show that this method can realize the separation of the fault frequency of the inner and outer rings of the rolling bearings so as to complete the identification of the fault type of the rolling bearings, and meet the requirements of the fault diagnosis of the armored vehicle rolling bearings. |