The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability
Open accessAbstract
Abstract The present paper describes a hybrid PSO–SVM-based model for the prediction of the remaining useful life of aircraft engines. The proposed hybrid model combines support vector machines (SVMs), which have been successfully adopted for regression problems, with the particle swarm optimization (PSO) technique. This optimization technique involves kernel parameter setting in the SVM training procedure, which significantly influences the regression accuracy. However, its use in reliability applications has not been yet widely explored. Bearing this in mind, remaining useful life values have been predicted here by using the hybrid PSO–SVM-based model from the remaining measured parameters (input variables) for aircraft engines with success. A coefficient of determination equal to 0.9034 was obtained when this hybrid PSO–RBF–SVM-based model was applied to experimental data. The agreement of this model with experimental data confirmed its good performance. One of the main advantages of this predictive model is that it does not require information about the previous operation states of the engine. Finally, the main conclusions of this study are exposed.
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Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
Zhang, W., Yang, D., & Wang, H. (2019) · IEEE Systems Journal · doi:10.1109/jsyst.2019.2905565 · Cited by 732
Cao, Y., Ding, Y., Jia, M., & Tian, R. (2021) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2021.107813 · Cited by 361
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit
Mo, Y., Wu, Q., Li, X., & Huang, B. (2021) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-021-01750-x · Cited by 328
Solís-Martín, D., Galán-Páez, J., & Borrego-Díaz, J. (2025) · Mathematics · doi:10.3390/math13040555 · Cited by 7
Metadata
- Authors
- García Nieto, P. J., García-Gonzalo, E., Sánchez Lasheras, F., & de Cos Juez, F. J.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 138
- Pages
- 219-231
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W2022621390
- Cited by
- 321
- References
- 51
- FWCI
- 18.56
- Type
- journal article
- Language
- en
- Open access
- green
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- García Nieto, P. J., García-Gonzalo, E., Sánchez Lasheras, F., & de Cos Juez, F. J. (2015). Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2015.02.001
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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