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.