Imputation of Missing Data with Ordinary Kriging for Enhancing Fault Detection and Diagnosis

Author:

Ardakani Mohammadhamed,Shokry Ahmed,Saki Ghazal,Escudero Gerard,Graells Moises,Espuña Antonio

Publisher

Elsevier

Reference8 articles.

1. Fault diagnosis of chemical processes with incomplete observations: A comparative study;Askarian;Computers & Chemical Engineering,2016

2. Nonlinear Predictive Control of a Benchmark CSTR;Chen;Proc. of the European Control Conf.,1995

3. Incremental support vector machine construction, Proceedings 2001;Domeniconi;IEEE International Conference on Data Mining,2001

4. Pattern classification with missing data: a review;Parrado-Herna ndez;Neural Computing and Applications,2010

5. A semi-supervised approach to fault diagnosis for chemical processes;Monroy;Computers & Chemical Engineering,2010

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