基于IPSO优化BP神经网络的滚动轴承故障诊断

Optimized BP Neural Network Based on IPSO in Fault Diagnosis of Rolling Bearings

在研究改进粒子群算法(IPSO)的基础上,采用IPSO对BP神经网络进行优化,并针对滚动轴承故障诊断问题提出了有效的分析方法。试验结果表明,该算法能够有效地判断出故障类型,与实际期望结果相符合。

Based on the research of IPSO,the BP neural network is optimized,and a valid analytical method is put forward to solve the problem in fault diagnosis of rolling bearings.The experimental results show that this algorithm can effectively judge the fault type,and correspond with the actual expected results.