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Based on the knowledge rule models and the analysis mathematical models, the two-level real-time expert control system (ECS) was established. With the self-learning ability in expert optimal mode, the expert system (ES) was developed to find the calcining zone's optimal temperature value. To optimize the process, the real-time control system (RTCS) was designed to realize the control of the feeding...
Directing at the complex structure, cockamamie production technology and great operation difficulty of vertical roller mill, this paper constructs the fault expert system to guide and optimize the grinding process. First, the expert database is established with fuzzy cluster analysis, principal component analysis (PCA) and tendency analysis. With support vector machine (SVM) regression, the multiple...
This paper firstly examines the traditional vehicle styling evaluation methods and issues, and then presents a new approach which uses ANN (artificial neural network) to build an expert system for bus styling evaluation. It describes the key technical issues of quasi-three-dimensional bus styling evaluation expert system from data collection, graphical pre-processing, graphics feature extraction,...
The method of knowledge processing and the basic question in an intelligent diagnosis system for Hydraulic AGC fault system are presented. The knowledge range of Hydraulic AGC system diagnosed is classified by the object-oriented approach. Finally, the approach to obtaining fault knowledge on Hydraulic AGC system is presented. It provides some foundation for establishment of intelligent fault diagnosis...
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