A novel identification approach for shearer running status through integration of rough sets and improved wavelet neural network

作者：Si, Lei; Wang, Zhongbin^*; Liu, Xinhua

来源：Proceedings of the Institution of Mechanical Engineers - Part C: Journal of Mechanical Engineering Science , 2016, 230(16): 2792-2805.

DOI：10.1177/0954406215602032

• Shearer running status
• rough sets
• wavelet neural network
• particle swarm optimization algorithm

In order to accurately and conveniently identify the shearer running status, a novel approach based on the integration of rough sets (RS) and improved wavelet neural network (WNN) was proposed. The decision table of RS was discretized through genetic algorithm and the attribution reduction was realized by MIBARK algorithm to simply the samples of WNN. Furthermore, an improved particle swarm optimization algorithm was proposed to optimize the parameters of WNN and the flowchart of proposed approach was designed. Then, a simulation example was provided and some comparisons with other methods were carried out. The simulation results indicated that the proposed approach was feasible and outperforming others. Finally, an industrial application example of mining automation production was demonstrated to verify the effect of proposed system.

• 出版日期2016-10
• 单位中国矿业大学（北京）