Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)

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

Authors
Gong Qin, Jun Zhou
Corresponding Author
Gong Qin
Available Online January 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
Part of series
Advances in Engineering Research
Publication Date
January 2016
ISBN
978-94-6252-153-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifeea-15.2016.29How to use a DOI?
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  -