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Multimode Process Monitoring Based on Sparse Principal Component Selection and Bayesian Inference-Based Probability
According to the demand for diversified products, modern industrial processes typically have multiple operating modes. At the same time, variables within the same mode often follow a mixture of Gaussian distributions. In this paper, a novel algorithm based on sparse principal component selection (SP...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Limited
2015-01-01
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| Colecção: | Mathematical Problems in Engineering |
| Acesso em linha: | http://dx.doi.org/10.1155/2015/465372 |
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