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Communication Dans Un Congrès Année : 2018

Sparse reconstruction-based contribution for multiple fault

Résumé

This paper addresses the problem of multiple fault isolation based on kernel principal component analysis and proposes a sparse fault estimation method to evaluate the reconstruction-based contribution. The fault magnitude estima- tion is here formulated as an optimization problem under non- negativity and sum-to-one constraints. A multiplicative iterative scheme and its initialization procedure are proposed to solve it. The effectiveness of the proposed method is demonstrated on the simulated continuous stirred tank reactor (CSTR) process.
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Dates et versions

hal-01773623 , version 1 (22-04-2018)

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Gilles Mourot, Maya Kallas, Kwami Anani, Didier Maquin. Sparse reconstruction-based contribution for multiple fault. 26th Mediterranean Conference on Control and Automation, MED’18, Jun 2018, Zadar, Croatia. ⟨10.1109/MED.2018.8442938⟩. ⟨hal-01773623⟩
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