The Research And Implementation Of Fault Diagnosis System For Thin Coal Seam Mining Equipment

Thin seam of coal reserves acounts for a hign proportion of total reserves in our country, while production of thin seam mining is very low. This is mainly due to the low efficiency of thin seam mining, low mechanization,and low intelligence of equipment. To build mining equipment fault diagnosis system can improve the intelligence level of the thin seam mining equipment.This paper studies fault diagnosis system for rotating mechanism on the mining equipment. This paper sets up a rotating machinery fault simulation platform based on the NI data acquisition card and the Labview software as the core. For rotating machinery fault simulation platform, this paper first analyzes the bearings, gears, rotors fault characteristics and models of then design a RBF neural network for rotating machinery fault classification algorithm, and the fault vibration data which is collected from the platform is used for RBF neural network training and testing. In the process of diagnosis, this paper takes a strategy to quickly locate the fault first, and then finely diagnosis. In RBF network on the processing of the input feature vector, this paper adopts two ways which one considers failure model and the other not. The experimental results show that Combing diagnosis approach of RBF network and the fault model havs higher accuracy.In order to facilitate remote monitoring and diagnosis of mining equipment, this paper uses the JSP, struts 2, Hibernate and Mysql to design and implement a java-based web system of mining fault diagnosis, The Web system consists of four layers structure based on MVC.The paper implements classification algorithms of fault diagnosis which studied on the fault simulation platform with java, embedded in the fault diagnosis module as part of the Web system. Condition monitoring and fault diagnosis module is the core of the system. In addition, for the convenience of user access control and the management of the new mining equipment, in the Web system also designed the rights management and equipment management module.