RT info:eu-repo/semantics/conferenceObject
T1 Could an array of MEMS microphones be used to monitor machinery condition or diagnose failures?
A1 Val Puente, Lara del
A1 Herráez Sánchez, Marta
A1 Izquierdo Fuente, Alberto
A1 Villacorta Calvo, Juan José
A1 Suarez Vivar, Luis
K1 MEMS microphone array
K1 Fault diagnosis
AB During the last decades, vibration analysis has been used to evaluate condition monitoring and fault diagnosis of complex mechanical systems. The problem associated with these analysis methods is that the employed sensors must be in contact with the vibrant surfaces. To avoid this problem, the current trend is the analysis of the noise, or the acoustic signals, which are directly related with the vibrations, to evaluate condition monitoring and/or fault diagnosis of mechani-cal systems. Both, acoustic and vibration signals, obtained from a system can reveal information related with its operation conditions. Using arrays formed by digital MEMS microphones, which employ acquisition/processing systems based on FPGA, allows creating systems with a high number of sensors paying a reduced cost. This work studies the feasibility of the use of acoustic images, obtained by an array with 64 MEMS microphones (8x8) in a hemianechoic chamber, to detect, characterize and, eventually, identify failure conditions in machinery. The resolution obtained to spatially identify the problem origin in the machine under test. The acous-tic images are processed to extract different feature patterns to identify and classify machinery failures.
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/25818
UL http://uvadoc.uva.es/handle/10324/25818
LA eng
NO Londres (Reino Unido), 23-27July 2017
NO Producción Científica
DS UVaDOC
RD 22-nov-2024