Time-Frequency Analysis of Accelerometery Data for Detection and Identification of Faults on a Pneumatic Production Machine

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU147630" target="_blank" >RIV/00216305:26210/22:PU147630 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore-ieee-org.ezproxy.lib.vutbr.cz/stamp/stamp.jsp?tp=&arnumber=9983139" target="_blank" >https://ieeexplore-ieee-org.ezproxy.lib.vutbr.cz/stamp/stamp.jsp?tp=&arnumber=9983139</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ME54704.2022.9983139" target="_blank" >10.1109/ME54704.2022.9983139</a>

Result language
angličtina
Original language name
Time-Frequency Analysis of Accelerometery Data for Detection and Identification of Faults on a Pneumatic Production Machine
Original language description
As pneumatic cylinders are nowadays an integral part of manufacturing machines in a variety of industries, there is a growing demand for development of cost-effective and reliable techniques for detection and identification of faults on these machines. In this paper, we propose a novel algorithm for condition indicator extraction from the time-frequency domain. The algorithm uses signal-based condition indicators extracted from a frequency spectrum obtained by a modified version of the Short-Time Fourier Transform (STFT). The aim of this article is to demonstrate that the processing of readings from an accelerometer by the proposed method provides higher accuracy in detecting and identifying faults. We achieve all this by processing only a fraction of the measured signal. As result of that, the computational requirements are decreasing, leading to lower hardware cost which is advantageous as the proposed method is developed for industrial deployment.
Czech name
—
Czech description
—

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika (ME)
ISBN
978-1-6654-1040-3
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
„“-„“
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Plzeň
Event location
Pilsen
Event date
Dec 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000947331700032

Similar results(10)