The Research Of Tread Production Process Expert Failure Diagnosis System Based On Neural Network

In this paper, neural network and the corresponding mathematical tools are used to accurately diagnose the fault of tread production line and related equipments, Fault diagnosis system not only have the expert system logic ability, but also has the experience of neural networks. It can reduce and prevent the failure of the impact of production equipment, allowing the system to resume normal operation as soon as possible, and to reduce economic losses, it is also important to ensure the quality of tire production, production and equipment and personnel safety.In the background of PLC controlling system of the tire extruding line and according to system population structure and function characteristic, this paper analyses the types, range and causes of the faults in the line. This article outlines the tread production line process and fault diagnosis, based on a common approach and the analysis process, the classification of the common faults. In this paper, three types of failure are selected as the subjects. Discusses the neural network and expert system fault diagnosis applied to the shortcomings and established the combination of neural network and expert system fault diagnosis system and based on neural network expert system's basic structure and establish the modules of a knowledge base, inference engine and explain.Finally the system is simulated, based on MATLAB, and do an experiment of neural network to diagnose the fault, it is proved that the simulation experiments this study is the validity to diagnose the fault.Based on neural network expert system, established fault diagnosis of tread production line operating mode. For the follow-up study, Fault diagnosis provides a theoretical basis for the actual development, production and provides a reference direction.