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基于模糊BP神经网络的发动机磨损模式识别研究
引用本文:傅建平,李国章,廖振强,张培林. 基于模糊BP神经网络的发动机磨损模式识别研究[J]. 内燃机学报, 2005, 23(2): 187-191
作者姓名:傅建平  李国章  廖振强  张培林
作者单位:南京理工大学,机械学院,江苏,南京,210094;军械工程学院,一系,河北,石家庄,050003
基金项目:军队重点攻关资助项目(第310号)。
摘    要:结合大量铁谱分析数据与专家经验,分析了发动机磨损模式识别原理,给出了发动机磨损模式识别标准样本库,建立了发动机磨损模式识别的BP神经网络模型,并结合磨损模式识别实例,验证了识别结果的可靠性。实践证明,BP神经网络方法能够快速、准确、有效识别发动机磨损模式。

关 键 词:铁谱分析  磨损  BP神经网络  模式识别
文章编号:1000-0909(2005)02-0187-05
修稿时间:2004-07-21

Research on Engine Wear Pattern Recognition Based on Fuzzy BP Neural Network
FU Jian-ping,Li Guo-zhang,LIAO Zhen-qiang,ZHANG Pei-lin. Research on Engine Wear Pattern Recognition Based on Fuzzy BP Neural Network[J]. Transactions of Csice, 2005, 23(2): 187-191
Authors:FU Jian-ping  Li Guo-zhang  LIAO Zhen-qiang  ZHANG Pei-lin
Affiliation:FU Jian-ping~1,LI Guo-zhang~2,LIAO Zhen-qiang~1,ZHANG Pei-lin~2
Abstract:Based on a number of data and expert experiences,the Recognition principal of engine wear mode is analysed and the standard wear pattern repository is given.Meanwhile,the fuzzy BP neural network model is proposed.The reliability of recognition results is verified through the examples of wear mode.A number of results proved that the approach could recognize the engine wear mode rapidly,accurately and effectively.
Keywords:Ferrograph analysis  Wear  BP neural network  Pattern recognition
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