Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Model-Aided Diagnosis of Mechanical Systems: Fundamentals, Detection, Localization, and Assessment
Model-Aided Diagnosis of Mechanical Systems: Fundamentals, Detection, Localization, and Assessment
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Advanced Process Identification and Control
Advanced Process Identification and Control
Intelligent Systems and Soft Computing: Prospects, Tools and Applications
Intelligent Systems and Soft Computing: Prospects, Tools and Applications
MAPS: A Method for Identifying and Predicting Aberrant Behavior in Time Series
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Model-Based Fault Diagnosis in Dynamic Systems Using Identification Techniques
Model-Based Fault Diagnosis in Dynamic Systems Using Identification Techniques
Fuzzy Model Identification for Control
Fuzzy Model Identification for Control
Fault Diagnosis: Models, Artificial Intelligence, Applications
Fault Diagnosis: Models, Artificial Intelligence, Applications
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In this paper, an intelligent model constructed with Fuzzy TS dynamic Nonlinear Autoregressive with exogenous input (NARX) is introduced for process state identification and behavior prediction for complex processes based on the results in [14][15]. An optimization schemes are also investigated for model adaptability to cover time depending process changes. After model optimization, the process difference process state and its input data state can be determined based on the classified process state and input variables. Data mining is employed to discover valuable knowledge and rules hided in process data. Finally, a real case is studied for products supply process diagnosis and forecasting with this model. It indicates that the model has good performance for process state classification, identification and process behaviors prediction, as well as business rules extraction for making decision.