Industrial platform for rapid prototyping of intelligent diagnostic systems

Abstract

In this paper the industrial platform for rapid prototyping of intelligent real-time monitoring and diagnostic system was proposed. Its architecture is ready to utilize advanced computational intelligence methods, especially devoted to novelty detection such as autoassociative neural network, local outlier factor, one-class support vector machines, or to solve multiclass classification problems. The rapid prototyping tool set based on Matlab/Simulink and industrial automation equipment was described in details. As an example of the use of the proposed platform, CNC milling tool head mechanical imbalance online prediction system was described.