Interval valued data driven approach for sensor fault detection of nonlinear uncertain process

Author:

Lahdhiri Hajer,Taouali Okba

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference54 articles.

1. Extension des Methodes d’analyse Factorielle des Donnes de Type Intervalle, s.l;Chouakria,1998

2. Sensor fault detection based on principal component analysis for interval-valued data;Ait-Izem;Quality Engineering,2018

3. On the application of interval PCA to process monitoring: A robust strategy for sensor FDI with new efficient control statistics;Ait-Izem;Journal of Process Control,2018

4. Alcala, C. F., 2011. Fault diagnosis with reconstruction based contributions for statistical process monitoring. Thèse de doctorat à L'école USC Université de California de Sud.

5. An Improved Tabu Search Meta-heuristic Approach for Solving Scheduling Problem with Non-availability Constraints;Ben Abdellafou;Arabian Journal for Science and Engineering,2018

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