Predicting the performance of a sequentially turbocharged marine diesel engine using anfis

M. Tadros; M. Ventura; C. Guedes Soares; S. Lampreia

Predicting the performance of a sequentially turbocharged marine diesel engine using anfis

M. Tadros
, M. Ventura
, C. Guedes Soares
, S. Lampreia

Naval Architecture, Ocean And Marine Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

7 Citations (Scopus)

Abstract

A large number of parameters must be optimized to simulate the performance of a sequentially turbocharged marine diesel engine. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) is applied to predict the performance of the mentioned engine. This method is able to solve nonlinear problems without developing any explicit mathematical model or conducting optimization procedures. Experimental test results are collected from the manufacturer and are divided randomly into training and testing data. Gaussian curve membership function and 100 training iterations are used for the training process. The model maps the relationship between the two inputs; engine speed and brake power; and the brake specific fuel consumption as an output. The results show that ANFIS is able to predict the performance of the four-stroke diesel engine operated at different engine speeds with a high level of accuracy. This model can be used to investigate the effect of different parameters on engine performance in future research.

Original language	English
Title of host publication	Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019
Editors	Petar Georgiev, C. Guedes Soares
Pages	300-305
Number of pages	6
Publication status	Published - 2020
Event	18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019 - Varna, Bulgaria Duration: 9 Sept 2019 → 11 Sept 2019

Publication series

Name	Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019

Conference

Conference	18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019
Country/Territory	Bulgaria
City	Varna
Period	9/09/19 → 11/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

turbocharged marine diesel engine
adaptive neuro-fuzzy inference system (ANFIS)

Cite this

Tadros, M., Ventura, M., Guedes Soares, C., & Lampreia, S. (2020). Predicting the performance of a sequentially turbocharged marine diesel engine using anfis. In P. Georgiev, & C. G. Soares (Eds.), Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019 (pp. 300-305). (Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019).

Tadros, M. ; Ventura, M. ; Guedes Soares, C. et al. / Predicting the performance of a sequentially turbocharged marine diesel engine using anfis. Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019. editor / Petar Georgiev ; C. Guedes Soares. 2020. pp. 300-305 (Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019).

@inproceedings{a45b9311f1b742bfbb87ccd683e52180,

title = "Predicting the performance of a sequentially turbocharged marine diesel engine using anfis",

abstract = "A large number of parameters must be optimized to simulate the performance of a sequentially turbocharged marine diesel engine. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) is applied to predict the performance of the mentioned engine. This method is able to solve nonlinear problems without developing any explicit mathematical model or conducting optimization procedures. Experimental test results are collected from the manufacturer and are divided randomly into training and testing data. Gaussian curve membership function and 100 training iterations are used for the training process. The model maps the relationship between the two inputs; engine speed and brake power; and the brake specific fuel consumption as an output. The results show that ANFIS is able to predict the performance of the four-stroke diesel engine operated at different engine speeds with a high level of accuracy. This model can be used to investigate the effect of different parameters on engine performance in future research.",

keywords = "turbocharged marine diesel engine, adaptive neuro-fuzzy inference system (ANFIS)",

author = "M. Tadros and M. Ventura and \{Guedes Soares\}, C. and S. Lampreia",

year = "2020",

language = "English",

isbn = "9780367409517",

series = "Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019",

pages = "300--305",

editor = "Petar Georgiev and Soares, \{C. Guedes\}",

booktitle = "Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019",

note = "18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019 ; Conference date: 09-09-2019 Through 11-09-2019",

}

Tadros, M, Ventura, M, Guedes Soares, C & Lampreia, S 2020, Predicting the performance of a sequentially turbocharged marine diesel engine using anfis. in P Georgiev & CG Soares (eds), Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019. Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019, pp. 300-305, 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019, Varna, Bulgaria, 9/09/19.

Predicting the performance of a sequentially turbocharged marine diesel engine using anfis. / Tadros, M.; Ventura, M.; Guedes Soares, C. et al.
Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019. ed. / Petar Georgiev; C. Guedes Soares. 2020. p. 300-305 (Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Predicting the performance of a sequentially turbocharged marine diesel engine using anfis

AU - Tadros, M.

AU - Ventura, M.

AU - Guedes Soares, C.

AU - Lampreia, S.

PY - 2020

Y1 - 2020

N2 - A large number of parameters must be optimized to simulate the performance of a sequentially turbocharged marine diesel engine. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) is applied to predict the performance of the mentioned engine. This method is able to solve nonlinear problems without developing any explicit mathematical model or conducting optimization procedures. Experimental test results are collected from the manufacturer and are divided randomly into training and testing data. Gaussian curve membership function and 100 training iterations are used for the training process. The model maps the relationship between the two inputs; engine speed and brake power; and the brake specific fuel consumption as an output. The results show that ANFIS is able to predict the performance of the four-stroke diesel engine operated at different engine speeds with a high level of accuracy. This model can be used to investigate the effect of different parameters on engine performance in future research.

AB - A large number of parameters must be optimized to simulate the performance of a sequentially turbocharged marine diesel engine. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) is applied to predict the performance of the mentioned engine. This method is able to solve nonlinear problems without developing any explicit mathematical model or conducting optimization procedures. Experimental test results are collected from the manufacturer and are divided randomly into training and testing data. Gaussian curve membership function and 100 training iterations are used for the training process. The model maps the relationship between the two inputs; engine speed and brake power; and the brake specific fuel consumption as an output. The results show that ANFIS is able to predict the performance of the four-stroke diesel engine operated at different engine speeds with a high level of accuracy. This model can be used to investigate the effect of different parameters on engine performance in future research.

KW - turbocharged marine diesel engine

KW - adaptive neuro-fuzzy inference system (ANFIS)

UR - https://www.scopus.com/pages/publications/85079248136

M3 - Conference contribution book

AN - SCOPUS:85079248136

SN - 9780367409517

T3 - Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019

SP - 300

EP - 305

BT - Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019

A2 - Georgiev, Petar

A2 - Soares, C. Guedes

T2 - 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019

Y2 - 9 September 2019 through 11 September 2019

ER -

Tadros M, Ventura M, Guedes Soares C, Lampreia S. Predicting the performance of a sequentially turbocharged marine diesel engine using anfis. In Georgiev P, Soares CG, editors, Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019. 2020. p. 300-305. (Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019).

Predicting the performance of a sequentially turbocharged marine diesel engine using anfis

Abstract

Publication series

Conference

UN SDGs

Keywords

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