Design and Simulation for the Thin Seam Mining Equipment Fault Diagnosis System
HUANG Siping
JIANG Shengfeng
Abstract：Fault diagnosis of thin seam mining equipment is studied to simulate bearing failure of mining equipment on a fault diagnosis platform .Diagnosis system based on combination of model and BP neural network is designed in this paper . Using the bearing’s fault model to guide the extraction of characteristic parameter ,and the parameter is used as the input of the BP neural network .Through controlled trials ,it shows that the diagnostic method combining model and BP neural net‐work has a higher accuracy than the simple BP neural network diagnosis .
Keywords：thin seam mining equipmentbearing failure modeBP neural networkfault diagnosis
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 1615-1617,1626 )