Modeling and monitoring of nonlinear multi-mode processes

• The direct relationship of input and output is extracted.
• The separation method is proposed to establish an integrated monitoring system.
• The monitoring approach in the multi-mode processes is proposed.

In this paper, a new subspace separation method is proposed and a new modeling and monitoring approach in multi-mode processes based on subspace separation is proposed. The existing modeling methods have the following disadvantages: (1) different monitoring models are built in view of each different mode, which needs each mode to be able to offer fully complete modeling reference data. (2) The connection between each mode is ignored, which could be useful in process modeling and monitoring. The proposed method has the following advantages: (1) the common subspace is extracted and the monitoring performance of multi-mode processes is significantly improved. (2) New subspace separation is used to establish an integrated monitoring system, which would simplify the monitoring model structure and enhance its reliability. (3) The direct relationship of input dataset and output dataset is considered in the multi-mode processes, which is crucial for the complex industry process. Experiment results show effectiveness of the proposed method.