Wireless Acoustic Signal Monitoring Using MEMS sensor and ATmega on LabVIEW Platform?
Swathy L, Lizy Abraham?
Journal Title:International Journal of Computer Science and Mobile Computing - IJCSMC
Acoustics and vibrations caused on machine structures can result in faulty or collapse of the
whole mechanical system. These acoustics produced by machinery are vital indicators of machine health.
Acoustic signals analysis can be used as a tool for locating the problem and thus taking necessary actions.
MEMS sensors provide high accurate low size and low cost microphones which can be even used in low cost
space applications such as sounding rockets, nano-satellites etc. This paper explains the algorithm to extract
acoustic signals from ADMP401, which is a high quality, high performance, low power, analog output,
bottom-ported omnidirectional MEMS microphone. The sensor output will give the error free data even in
noisy conditions. ATmega microcontroller is used to read the data from the sensor and send to LabVIEW
software running on the computer which will extract and display the data from the serial port in real time. As
rotating structures are those machine parts which may experience high vibration and acoustic noises, the
same is implemented in wireless also which helps in extracting acoustic signals from rotating as well as
inaccessible parts of the machinery.