Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems

Autor: Graciliano Nicolás Marichal, Deivis Ávila, Ángela Hernández, Isidro Padrón, Cristina Castejón
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Sensors, Vol 18, Iss 9, p 3159 (2018)
Druh dokumentu: article
ISSN: 1424-8220
18093159
DOI: 10.3390/s18093159
Popis: In this article, a study of characteristic vibrations of marine oils separation system is presented. Vibrations analysis allows for the extraction of representative features that could be related to the lifetime of their pieces. Actual measurements were carried out on these systems on Ro-Pax vessels to transport passengers and freight. The vibrations obtained were processed in the frequency domain and following this, they were used in a Genetic Neuro-Fuzzy System in order to design new predictive maintenance strategies. The obtained results show that these techniques as a promising strategy can be utilized to determine incipient faults.
Databáze: Directory of Open Access Journals