Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)
Current multivariate control charts for monitoring large scale industrial processes are typically based on latent variable models, such as principal component analysis (PCA) or its dynamic counterpart when variables present auto-correlation (DPCA). In fact, it is usually considered that, under such...
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| Formato: | article |
| Idioma: | eng |
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2013
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| Texto completo: | http://hdl.handle.net/10316/27393 |
| País: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/27393 |