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Shapelet selection based on a genetic algorithm for remaining useful life prediction with supervised learning
RUL (remaining useful life) shapelets were recently developed to overcome the shortcomings of similarity-based RUL prediction methods, such as high sensitivity to parameters. RUL shapelets are informative subsequences whose distances to a run-to-failure time series sample are very useful for predict...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791343/ https://www.ncbi.nlm.nih.gov/pubmed/36578413 http://dx.doi.org/10.1016/j.heliyon.2022.e12111 |