Application of information fusion technology to fault diagnosis of mine hoist
Zhu Jiaxin · Mining & Processing Equipment · 2013
To improve the accuracy of the fault diagnosis of the mine hoist, a fault diagnosis method based on improved evidence theory and information fusion technology was designed. First, the ant-colony neural network, BP network and RBF network were respectively used to conduct preliminary fault diagnosis of the mine hoist. And then the fusion decision was made by improved evidence theory. Simulation example showed that the method could effectively solve the fusion of severe conflicting evidences, improved the application ability of the evidence theory, and possessed some fault tolerance capability. The method was suitable for fault diagnosis of the mine hoist.