An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring

no code implementations • 12 Dec 2020 • Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong

To realize this purpose, the technique of a mixture of probabilistic principal component analysers is utilized to establish the model of the underlying nonlinear process with local PPCA models, where a novel composite monitoring statistic is proposed based on the integration of two monitoring statistics in modified PPCA-based fault detection approach.

Fault Detection