Results
еНаука >
Резултати >
Application of artificial neural networks and principal component analysis on vibration signals for automated fault classification of roller element bearings
| Title: | Application of artificial neural networks and principal component analysis on vibration signals for automated fault classification of roller element bearings | Authors: | Zuber, Ninoslav   ; BAJRIĆ, Rusmir |
Issue Date: | 2016 | Publication: | Eksploatacja i Niezawodnosc - Maintenance and Reliability | ISSN: | 1507-2711 Eksploatacja i Niezawodnosc = Maintenance and Reliability Search Idenfier |
Type: | Article | Collation: | vol. 18 br. 2 str. 299-306 | DOI: | 10.17531/ein.2016.2.19 | WoS-ID: | 000372429700019 | Scopus-ID: | 2-s2.0-84961837362 | URI: | https://enauka.gov.rs/handle/123456789/204716 | URL: | https://www.researchgate.net/publication/299359348_Application_of_artificial_neural_networks_and_principal_component_analysis_on_vibration_signals_for_automated_fault_classification_of_roller_element_bearings | Metadata source: | Migrirano iz RIS podataka | M-category: | 22M22 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.