内燃机振动时频图像的编码特征提取与诊断

张世雄; 蔡艳平; 石林锁; 牟伟杰

doi:10.13433/j.cnki.1003-8728.2018.0310

内燃机振动时频图像的编码特征提取与诊断

doi: 10.13433/j.cnki.1003-8728.2018.0310

1.
火箭军工程大学, 西安 710025

基金项目:

国家自然科学基金项目（51405498）、陕西省自然科学基金项目（2013JQ8023）及中国博士后基金项目（2015M582642）资助

详细信息

作者简介:
张世雄(1992-),硕士研究生,研究方向为机电设备故障诊断与维修,898070012@qq.com

通讯作者:
蔡艳平,副教授,博士,caiyanping502@163.com

计量
- 文章访问数: 195
- HTML全文浏览量: 40
- PDF下载量: 4
- 被引次数: 0
出版历程
- 收稿日期: 2017-01-05
- 刊出日期: 2018-03-05

Coding Feature Extraction and Diagnosis of I.C. Engine Vibration Time-frequency Images

1.
The Rocket Force Engineering University, Xi'an 710025, China

摘要

摘要: 针对传统内燃机振动诊断方法在参数选择和特征提取方面的难题，提出一种将S变换和模块二维主成分分析（M-2DPCA）相结合的内燃机故障诊断方法。该方法首先利用S变换将采集到的内燃机缸盖表面振动信号生成振动谱图像；然后通过M-2DPCA对图像矩阵进行模块化处理，利用所有样本子图像构建总体散布矩阵，计算最优投影向量，进行图像特征参数提取；最后，利用最近邻分类器进行分类识别，完成诊断。将该方法应用于内燃机气阀机构8种工况下振动信号的诊断实例中，识别率可达到94.17%，证明了该方法的有效性。
- S变换 /
- M-2DPCA /
- 最近邻分类器 /
- 故障诊断
Abstract: According to the problems of parameter selection and feature extraction for vibration diagnosis of traditional internal combustion (I.C) engine, a new fault diagnosis method is discussed. The method based on S-transformation and Module Two Dimensional Principal Components Analysis (M-2DPCA) is proposed to carry out fault diagnosis of I.C. engine valve mechanism. First of all, the method transfers cylinder surface vibration signals of I.C. engine into images through S-transform. Second extracting the optimized projection vectors from the general distribution G which is obtained by all sample sub-images, so that vibration spectrum images can be modularized using M-2DPCA. At last, these features matrix obtained from images project will served as the enters of nearest neighbor classifier, it is used to achieve fault types' division. The method is applied to the diagnosis example of the vibration signal of the valve mechanism eight operating modes, recognition rate up to 94.17%; the effectiveness of the proposed method is proved.
- S-transform /
- M-2DPCA /
- nearest neighbor classifier /
- fault diagnosis

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参考文献(15)

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