Research on Fault Diagnosis of Coal Mine Drilling Based on Integrated Neural Networks Expert System
Shaobin Zhang · Coal Mine Machinery · 2014
This paper put forward a fault diagnosis expert system model of drilling engineering based on integrated neural networks aiming at the demand of on-line fault identification in the coal mine drilling field. The system used BP network as sub-neural network, and adopted the vote method as the result output of integrated neural networks, and verified faults through forward and reverse mixed reasoning mechanism. The experiment proves that this system can enhance drilling efficiency and effectively prevent and control the happening of drilling faults.