| 基于图像分析和野点检测的航空发动机磨损状态识别 |
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| 引用本文： | 谭真臻,陈果,陈立波,李允.基于图像分析和野点检测的航空发动机磨损状态识别[J].中国机械工程,2010(7). |
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| 作者姓名： | 谭真臻 陈果 陈立波 李允 |
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| 作者单位： | 南京航空航天大学;北京航空工程技术研究中心; |
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| 摘 要： | 研究了基于发动机滑油滤磨屑图像的磨损状态自动识别技术。首先采用最大熵法和数学形态学方法,提取滑油滤磨屑图像中反映磨损状态的特征量;然后采集反映正常状态的航空发动机滑油滤图像,通过图像分析与特征提取,构造出仅包含正常样本的训练样本集,最后用野点检测方法对训练样本进行学习,并使用遗传算法对野点检测参数进行优化,得到了滑油滤磨屑图像的正常域,并以此来识别航空发动机磨损状态的严重程度。开发了发动机滑油滤监控系统(engine oil filter monitoring system,EOFMS),实现了基于野点检测的磨屑图像识别功能,并利用实际航空发动机滑油滤磨屑图像进行了实验分析,结果验证了该方法的有效性。
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| 关 键 词： | 航空发动机 磨损监测 滑油滤分析 图像分析 野点检测 遗传算法 |
Aero-engine Wear State Recognition Based on Image Analysis and Novelty Detection |
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| Tan Zhenzhen Chen Guo Chen Libo Li Yun.Nanjing University of Aeronautics , Astronautics,Nanjing.Aero-engine Wear State Recognition Based on Image Analysis and Novelty Detection[J].China Mechanical Engineering,2010(7). |
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| Authors: | Tan Zhenzhen Chen Guo Chen Libo Li YunNanjing University of Aeronautics Astronautics Nanjing |
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| Affiliation: | Tan Zhenzhen1 Chen Guo1 Chen Libo2 Li Yun11.Nanjing University of Aeronautics , Astronautics,Nanjing,2100162.Beijing Aeronautical Technology Research Center,Beijing,100076 |
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| Abstract: | An automatic identification technology based on engine oil filter debris image was investigated.Firstly,characteristic quantities of oil filter images which can reflect wear state were extracted with the maximum entropy method and mathematical morphology method.Then,oil filter images that can reflect normal state were collected,and the normal training sample sets were constructed through image analysis and feature extraction.Finally,the normal domain of oil filter image was obtained through normal training ... |
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| Keywords: | aero-engine wear monitoring oil filter analysis image analysis novelty detection genetic algorithm |
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