Application Research on Motor Fault Monitoring on Audio Signal Recognition Technology with SOPC
Gong Qin, Jun Zhou
Available Online January 2016.
- https://doi.org/10.2991/ifeea-15.2016.29How to use a DOI?
- SOPC; STFT; Audio signal recognition revolving speed motor fault online monitoring
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Gong Qin AU - Jun Zhou PY - 2016/01 DA - 2016/01 TI - Application Research on Motor Fault Monitoring on Audio Signal Recognition Technology with SOPC BT - 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015) PB - Atlantis Press SP - 145 EP - 150 SN - 2352-5401 UR - https://doi.org/10.2991/ifeea-15.2016.29 DO - https://doi.org/10.2991/ifeea-15.2016.29 ID - Qin2016/01 ER -