| 基于IPSO优化BP神经网络的滚动轴承故障诊断 |
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| 引用本文： | 党保华,朱德荣,杜志强,王淑珍,余炳辉.基于IPSO优化BP神经网络的滚动轴承故障诊断[J].轴承,2011(7):34-36. |
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| 作者姓名： | 党保华 朱德荣 杜志强 王淑珍 余炳辉 |
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| 作者单位： | 洛阳理工学院机电工程系，河南洛阳,471023 |
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| 基金项目： | 河南省高等学校青年骨干教师资助计划项目(2010GGJS-172) |
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| 摘 要： | 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。
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| 关 键 词： | 滚动轴承 故障诊断 IPSO BP神经网络 |
Optimized BP Neural Network Based on IPSO in Fault Diagnosis of Rolling Bearings |
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| DANG Bao-hua,ZHU De-rong,DU Zhi-qiang,WANG Shu-zhen,YU Bing-hui.Optimized BP Neural Network Based on IPSO in Fault Diagnosis of Rolling Bearings[J].Bearing,2011(7):34-36. |
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| Authors: | DANG Bao-hua ZHU De-rong DU Zhi-qiang WANG Shu-zhen YU Bing-hui |
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| Affiliation: | DANG Bao-hua,ZHU De-rong,DU Zhi-qiang,WANG Shu-zhen,YU Bing-hui(Department of Mechanical & Electronic Engineering,Luoyang Institute of Science and Technology,Luoyang 471023,China) |
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| Abstract: | 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. |
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| Keywords: | rolling bearing fault diagnosis IPSO BP neural network |
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