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

DOI

10.2991/ifeea-15.2016.29How to use a DOI?

Keywords

SOPC; STFT; Audio signal recognition revolving speed motor fault online monitoring

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/ifeea-15.2016.29
ID  - Qin2016/01
ER  -