RT info:eu-repo/semantics/article
T1 Condition monitoring in marine oil separation systems using Wavelet Packet Transform and Genetic Technique
A1 Hernández López, Ángela
A1 Castejón, Cristina
A1 Ávila Prats, Deivis
A1 Gómez García, María Jesús
A1 Marichal Plasencia, Graciliano Nicolás
A2 Ingeniería CivilNáutica y Marítima
A2 INGEMAR
K1 wavelet packet transform
K1 genetic neuro-fuzzy
K1 condition monitoring
AB Condition Monitoring is key to predictive maintenance and especially in the operational efficiency of the Marine Oil Separation System. These systems are crucial for environmental protection and compliance with international maritime regulations. Therefore, it is necessary to design a technique capable of analyzing the signals from sensors and estimating the remaining useful life in order to avoid breakage or unnecessary replacement. This work presents an intelligent method with signal processing based on Wavelet Packets Transform that provides energy data from vibration measurements as characteristic parameters. These values can be related to its RUL, and they are used as inputs for the training process. In particular, a Genetic Neuro-Fuzzy system is proposed as an intelligent classification technique. Once the training process is completed, it can be concluded that a good classifier has been built, since it relates the energy state of the oil separation system with its remaining useful life, and therefore, the necessary information for efficient predictive maintenance is achieved. Furthermore, a mechanism to obtain the final set of fuzzy rules has been developed, showing the correspondence between these fuzzy rules and the neural network structure.
YR 2024
FD 2024
LK http://riull.ull.es/xmlui/handle/915/40163
UL http://riull.ull.es/xmlui/handle/915/40163
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 27-nov-2024