Defining the structure of DPCA models and its impact on process monitoring and prediction activities
Dynamic Principal Component Analysis (DPCA) is an extension of Principal Component Analysis (PCA), developed in order to add the ability to capture the autocorrelative behavior of processes, to the existent and well-known PCA capability for modeling cross-correlation between variables. The simultane...
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| Formato: | article |
| Idioma: | por |
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2013
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| Texto completo: | http://hdl.handle.net/10316/27235 |
| País: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/27235 |