Adaptive Architecture for Fault Diagnosis of Rotating Machinery
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F21%3A43896293" target="_blank" >RIV/44555601:13440/21:43896293 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/publication/349992022_Adaptive_Architecture_for_Fault_Diagnosis_of_Rotating_Machinery" target="_blank" >https://www.researchgate.net/publication/349992022_Adaptive_Architecture_for_Fault_Diagnosis_of_Rotating_Machinery</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-75078-7_5" target="_blank" >10.1007/978-3-030-75078-7_5</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive Architecture for Fault Diagnosis of Rotating Machinery
Original language description
In this work, an adaptive architecture has been implemented for rotating machinery fault diagnoses of an industrial machine, where the input data used in this work has been taken from alternative current motors. The data sets for training and testing were recorded with a vibrometer. A dynamic neural architecture is previously trained with the training data set. Furthermore, an online monitoring system is implemented using the testing data set to detect abnormal behaviour of the monitored signal which can lead to a failure of the industrial machine. For the evaluation of the architecture, tests are performed using the obtained signal from different vibration tests.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 1
ISBN
978-3-030-75077-0
ISSN
2367-3370
e-ISSN
2367-3370
Number of pages
11
Pages from-to
41-51
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
Toronto
Event location
Toronto, Canada
Event date
May 12, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—