research-article

Particle Swarm Optimization for Model Selection of Aircraft Maintenance Predictive Models

Authors:

Abdellatif El Afia,

Malek SarhaniAuthors Info & Claims

BDCA'17: Proceedings of the 2nd international Conference on Big Data, Cloud and Applications

Article No.: 47, Pages 1 - 12

https://doi.org/10.1145/3090354.3090402

Published: 29 March 2017 Publication History

Abstract

Nowadays, predictive models -especially the ones based on machine learning- are widely used to solve many big data problems. One of the main challenges within predictive models is to choose the best model for each problem. In particular, model selection and feature selection are two important issues in machine learning models as they help to achieve the best results. This paper focuses on the restriction of these two problems to ϵ---SVR (support vector regression) and more specifically the optimization of both problems using the particle swarm optimization algorithm. Our approach is investigated in the estimation of remaining useful life (RUL) of aircrafts which affects their maintenance planning and which is an interesting issue in predictive maintenances. That is, the experiment consists of predicting RUL of aircraft engines using an ϵ--- SVR optimized by PSO. Experimental results show the efficiency of the proposed approach.

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Cited By

Ma HSun YChung SChan H(2022)Tackling uncertainties in aircraft maintenance routing: A review of emerging technologiesTransportation Research Part E: Logistics and Transportation Review10.1016/j.tre.2022.102805164(102805)Online publication date: Aug-2022
https://doi.org/10.1016/j.tre.2022.102805
Tahir MMahamad ASaon SSathasivam SAmeen H(2021)Machine Remaining Useful Life (RUL) Prediction Based on Particle Swarm Optimization (PSO)Proceedings of the 12th National Technical Seminar on Unmanned System Technology 202010.1007/978-981-16-2406-3_46(601-609)Online publication date: 25-Sep-2021
https://doi.org/10.1007/978-981-16-2406-3_46
Nouinou SEl Afia AEl Fkihi S(2018)Overview on last advances of feature selectionProceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications10.1145/3230905.3230959(1-6)Online publication date: 2-May-2018
https://dl.acm.org/doi/10.1145/3230905.3230959

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Particle Swarm Optimization for Model Selection of Aircraft Maintenance Predictive Models

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cover image ACM Other conferences

BDCA'17: Proceedings of the 2nd international Conference on Big Data, Cloud and Applications

March 2017

685 pages

ISBN:9781450348522

DOI:10.1145/3090354

Conference Chairs:
Mohamed Lazaar
ENSA, Tetuan, Morocco
,
Youness Tabii
ENSA, Tetuan, Morocco
,
Mohamed Chrayah
ENSA, Tetuan - Morocco
,
Mohammed Al Achhab
ENSA, Tetuan, Morocco

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Ministère de I'enseignement supérieur: Ministère de I'enseignement supérieur

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 March 2017

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BDCA'17

BDCA'17: 2nd international Conference on Big Data, Cloud and Applications

March 29 - 30, 2017

Tetouan, Morocco

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Cited By

Ma HSun YChung SChan H(2022)Tackling uncertainties in aircraft maintenance routing: A review of emerging technologiesTransportation Research Part E: Logistics and Transportation Review10.1016/j.tre.2022.102805164(102805)Online publication date: Aug-2022
https://doi.org/10.1016/j.tre.2022.102805
Tahir MMahamad ASaon SSathasivam SAmeen H(2021)Machine Remaining Useful Life (RUL) Prediction Based on Particle Swarm Optimization (PSO)Proceedings of the 12th National Technical Seminar on Unmanned System Technology 202010.1007/978-981-16-2406-3_46(601-609)Online publication date: 25-Sep-2021
https://doi.org/10.1007/978-981-16-2406-3_46
Nouinou SEl Afia AEl Fkihi S(2018)Overview on last advances of feature selectionProceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications10.1145/3230905.3230959(1-6)Online publication date: 2-May-2018
https://dl.acm.org/doi/10.1145/3230905.3230959

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