TY - GEN
T1 - System for Vehicle Sound and Vibration Monitoring using MEMS Sensors
AU - Bismor, Dariusz
N1 - Publisher Copyright:
© 2019 Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT).
PY - 2019/9
Y1 - 2019/9
N2 - This paper describes a project aiming at development of an embedded system for internal combustion engine vehicle condition monitoring, using MEMS accelerometers and a microphone. It was assumed that a low-cost solution will be developed, because old, second-hand market cars are targeted, where the use of high-quality piezoelectric accelerometers is economically unreasonable. The project started with elaboration of hardware requirements, based on typical passenger car parameters. The hardware was selected based on these requirements, and the device was designed and constructed. Finally, the device was tested and the results were compared with the results obtained using piezoelectric accelerometers. The research proved that MEMS accelerometers can be useful in providing measurements of good quality, sufficient for condition monitoring of internal combustion engines, and detection of some typical failures.
AB - This paper describes a project aiming at development of an embedded system for internal combustion engine vehicle condition monitoring, using MEMS accelerometers and a microphone. It was assumed that a low-cost solution will be developed, because old, second-hand market cars are targeted, where the use of high-quality piezoelectric accelerometers is economically unreasonable. The project started with elaboration of hardware requirements, based on typical passenger car parameters. The hardware was selected based on these requirements, and the device was designed and constructed. Finally, the device was tested and the results were compared with the results obtained using piezoelectric accelerometers. The research proved that MEMS accelerometers can be useful in providing measurements of good quality, sufficient for condition monitoring of internal combustion engines, and detection of some typical failures.
UR - https://www.scopus.com/pages/publications/85077741629
U2 - 10.23919/SPA.2019.8936824
DO - 10.23919/SPA.2019.8936824
M3 - Conference contribution
AN - SCOPUS:85077741629
T3 - Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
SP - 50
EP - 55
BT - SPA 2019 - Signal Processing
PB - IEEE Computer Society
T2 - 23rd Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2019
Y2 - 18 September 2019 through 20 September 2019
ER -