Multivariate fault isolation by robust Mallows’ Cp: A mixed integer nonlinear programming approach

Lang Liu

doi:10.1016/j.jtice.2025.106583

Multivariate fault isolation by robust Mallows’ Cp: A mixed integer nonlinear programming approach

2026-01-10

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DOI：10.1016/j.jtice.2025.106583

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• The proposed method formulates fault isolation as a MINLP problem using robust Mallows’Cp, with a forward selection strategy employed to accelerate the solution process. • Faults can be crisply isolated without smearing effects and the need of a priori specification of hyperparameter that determines the weighting of the sparsity penalty. • Magnitudes of each faulty variables can be determined in multivariate faults.

Multivariate fault isolation by robust Mallows’ Cp: A mixed integer nonlinear programming approach

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