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A Novel Fault Detection with Minimizing the Noise-Signal Ratio Using Reinforcement Learning
In this paper, a reinforcement learning approach is proposed to detect unexpected faults, where the noise-signal ratio of the data series is minimized to achieve robustness. Based on the information of fault free data series, fault detection is promptly implemented by comparing with the model foreca...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165079/ https://www.ncbi.nlm.nih.gov/pubmed/30217091 http://dx.doi.org/10.3390/s18093087 |