基于数字孪生的复杂矿用设备预测性维护系统
张旭辉,鞠佳杉,杨文娟,吕欣媛

Predictive maintenance system for complex mining equipment based on digital twin
Xu-hui ZHANG,Jia-shan JU,Wen-juan YANG,Xin-yuan LÜ
表4 基于BP神经网络的采煤机左摇臂液压柱塞泵故障预测结果
Table 4 Fault prediction results of hydraulic piston pump of left rocker arm of shearer based on BP neural network
样本实际故障状态预测故障状态
预测值对应编号
110.988 31
200.081 40
310.999 01
410.999 21
500.008 70
61——
710.986 31
810.910 41
900.031 70
1000.100 50
1100.032 30
1200.002 70
130——
1400.019 90
1510.990 51
1610.987 21
1700.024 10
1800.081 60
1910.994 71
2000.074 00