Online monitoring for multiple mode processes based on Gaussian Mixture Model

Recently, with the urgent requirement of multi-type and high-quality products of the market, the efficient production process of multiple products become emphasis in many industries. It is challenging to conduct statistical analysis and online monitoring for multi-mode processes considering the process high dimensionality and multi-operation. In this paper, process monitoring model for different modes are built using Gaussian Mixture Model, especially focusing on several key points, such as, data classification, excluding noise, mode identification for online monitoring and so on. A large number of simulations in real process show the feasibility and effectiveness of the proposed method.