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Open AccessArticle

Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems

Escuela Politécnica Superior de Ingeniería, Universidad de La Laguna, 38001 Tenerife, Spain
MAQLAB Group, Mechanical Department, Universidad Carlos III, Av. de la Universidad, 30, 28911 Madrid, Spain
Author to whom correspondence should be addressed.
Sensors 2018, 18(9), 3159;
Received: 10 July 2018 / Revised: 17 September 2018 / Accepted: 18 September 2018 / Published: 19 September 2018
(This article belongs to the Special Issue Sensing in Oil and Gas Applications)
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. View Full-Text
Keywords: vibration; oil separator; Genetic Neuro-Fuzzy; signal processing vibration; oil separator; Genetic Neuro-Fuzzy; signal processing
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MDPI and ACS Style

Marichal, G.N.; Ávila, D.; Hernández, Á.; Padrón, I.; Castejón, C. Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems. Sensors 2018, 18, 3159.

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