Fault Detection Based on Modified Kernel Semi-Supervised Locally Linear Embedding.

In this paper, a novel approach to fault detection for nonlinear processes is proposed. It is based on a manifold learning called modified kernel semi-supervised local linear embedding. Local linear embedding (LLE) is widely applied to fault detection of complex industrial process. However, the LLE only preserves the local structure information of the sample, which ignores the global characteristi...