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Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems.
Marichal, Graciliano Nicolás; Ávila, Deivis; Hernández, Ángela; Padrón, Isidro; Castejón, Cristina.
Affiliation
  • Marichal GN; Escuela Politécnica Superior de Ingeniería, Universidad de La Laguna, 38001 Tenerife, Spain. nicomar@ull.edu.es.
  • Ávila D; Escuela Politécnica Superior de Ingeniería, Universidad de La Laguna, 38001 Tenerife, Spain. davilapr@ull.edu.es.
  • Hernández Á; Escuela Politécnica Superior de Ingeniería, Universidad de La Laguna, 38001 Tenerife, Spain. ahernand@ull.edu.es.
  • Padrón I; Escuela Politécnica Superior de Ingeniería, Universidad de La Laguna, 38001 Tenerife, Spain. ipadron@ull.es.
  • Castejón C; MAQLAB Group, Mechanical Department, Universidad Carlos III, Av. de la Universidad, 30, 28911 Madrid, Spain. castejon@ing.uc3m.es.
Sensors (Basel) ; 18(9)2018 Sep 19.
Article in En | MEDLINE | ID: mdl-30235824
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2018 Type: Article Affiliation country: Spain

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2018 Type: Article Affiliation country: Spain