Subspace approach to multidimensional fault identification and reconstruction
R Dunia, S Joe Qin - AICHE journal, 1998 - Wiley Online Library
Fault detection and process monitoring using principal‐component analysis (PCA) and
partial least squares were studied intensively and applied to industrial processes. The …
partial least squares were studied intensively and applied to industrial processes. The …
Subspace Approach to Multidimensional Fault Identification and Reconstruction
R Dunia, SJ Qin - AICHE Journal, 1998 - scholars.cityu.edu.hk
Fault detection and process monitoring using principal‐component analysis (PCA) and
partial least squares were studied intensively and applied to industrial processes. The …
partial least squares were studied intensively and applied to industrial processes. The …
[引用][C] Subspace approach to multidimensional fault identification and reconstruction
R Dunia, SJ Qin - AIChE Journal, 1998 - cir.nii.ac.jp
[引用][C] Subspace approach to multidimensional fault identification and reconstruction
R DUNIA, SJ QIN - AIChE journal, 1998 - pascal-francis.inist.fr
Subspace approach to multidimensional fault identification and reconstruction CNRS Inist
Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search Advanced …
Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search Advanced …
Subspace approach to multidimensional fault identification and reconstruction
R Dunia, SJ Qin - American Institute of Chemical Engineers …, 1998 - search.proquest.com
Fault detection and process monitoring using principal-component analysis (PCA) and
partial least squares were studied intensively and applied to industrial processes. The …
partial least squares were studied intensively and applied to industrial processes. The …
Subspace approach to multidimensional fault identification and reconstruction
R Dunia, S Joe Qin - AIChE Journal, 1998 - ui.adsabs.harvard.edu
Fault detection and process monitoring using principal‑component analysis (PCA) and
partial least squares were studied intensively and applied to industrial processes. The …
partial least squares were studied intensively and applied to industrial processes. The …
Subspace Approach to Multidimensional Fault Identification and Reconstruction
R DUNIA, SJ QIN - AICHE Journal, 1998 - scholars.ln.edu.hk
Fault detection and process monitoring using principal‐component analysis (PCA) and
partial least squares were studied intensively and applied to industrial processes. The …
partial least squares were studied intensively and applied to industrial processes. The …
[引用][C] Subspace Approach to Multidimentional Fault Identification and Reconstruction
R DUNIA - AIChE J., 1998 - cir.nii.ac.jp