Application Research on Motor Fault Monitoring on Audio Signal Recognition Technology with SOPC

摘要

This application research adopts the development kit named DE1-SoC, which can realize real-time collection about the voice signal of the motor rotation, and remove noises with anti aliasing filter. We research the corresponding spectrum in frequency domain after the combining STFT transformation. Using the corresponding algorithm, we can find the frequency spectrum component related to the speed, build relations between the frequency and the corresponding motor speed. Thus, the state information of motor running is obtained. Taking advantage of pattern recognition technology, the real-time running state of motor was compared with the spectrum diagram of the normal running, we can detect the workings of motor, and automatically the system identifies the failure status of motor in the running process.