Gearbox pitting detection using linear discriminant analysis and distance preserving self-organizing map

机译：使用线性判别分析和距离保持自组织图的齿轮箱点蚀检测

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Many intelligent learning methods have been successfully applied in the gearbox fault diagnosis. Self-organizing map (SOM) is one of such learning methods which have been used effectively as it preserves the topological relationships of the data. A novel distance preserving SOM is investigated in mechanical fault diagnosis, and a LDA-DPSOM (linear discrimination analysis and distance preserving SOM) based diagnosis method is presented for gear incipient fault detection. Firstly, LDA is used to realize feature selection of the data set, so the dimension of produced data is much fewer than that of original data. Then the DPSOM method is applied to classifying the selected data and visualizing the classification result. Experiment results indicate the effectiveness of LDA-DPSOM for gearbox incipient fault diagnosis.

机译：许多智能学习方法已成功应用于变速箱故障诊断中。自组织映射（SOM）是一种有效地使用了此类学习方法，因为它保留了数据的拓扑关系。在机械故障诊断中，研究了一种新型的保距SOM，提出了一种基于LDA-DPSOM（线性判别分析和保距SOM）的齿轮早期故障诊断方法。首先，LDA用于实现数据集的特征选择，因此生成数据的维数比原始数据要小得多。然后将DPSOM方法应用于对所选数据进行分类并可视化分类结果。实验结果表明，LDA-DPSOM对于变速箱早期故障诊断是有效的。

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来源
《Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International》|2012年|p.2225- 2229|共5页
会议地点 Graz(AT)
作者
Li Weihua; Zhang Lijun; Xu Yabing;
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作者单位

School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China;

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原文格式 PDF
正文语种 eng
中图分类计量学;
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专利

1. Semisupervised Distance-Preserving Self-Organizing Map for Machine-Defect Detection and Classification [J] . Li W., Zhang S., He G. Instrumentation and Measurement, IEEE Transactions on . 2013,第5期

机译：用于机器缺陷检测和分类的半监督距离保留自组织图
2. Automated detection of disulfide bridges in electron density maps using linear discriminant analysis [J] . Ioerger TR Journal of Applied Crystallography . 2005,第1期

机译：使用线性判别分析自动检测电子密度图中的二硫键
3. The earth mover’s distance and Bayesian linear discriminant analysis for epileptic seizure detection in scalp EEG [J] . Shasha Yuan, Jinxing Liu, Junliang Shang, Biomedical Engineering Letters . 2018,第4期

机译：地球移动器的距离和贝叶斯线性判别分析癫痫发作检测癫痫发作检测
4. Gearbox pitting detection using linear discriminant analysis and distance preserving self-organizing map [C] . Li Weihua, Zhang Lijun, Xu Yabing IEEE International Instrumentation and Measurement Technology Conference . 2012

机译：齿轮箱点点检测使用线性判别分析和保持自组织地图
5. A COMPARISON OF SIX MODELS FOR PREDICTING CORPORATE BANKRUPTCY: MULTIPLE LINEAR REGRESSION ANALYSIS, MULTIPLE LINEAR DISCRIMINANT ANALYSIS, STEPWISE REGRESSION ANALYSIS, STEPWISE DISCRIMINANT ANALYSIS, MULTIPLE LINEAR REGRESSION ANALYSIS WITH RIDGE REGRESSION, AND MULTIPLE LINEAR DISCRIMINANT ANALYSIS WITH BIASED MINIMUM CHI-SQUARE RULE [D] . MAPP, JOHNNIE ALBERT. 1981

机译：六种预测公司破产的模型的比较：多个线性回归分析，多个线性判别分析，逐步回归分析，逐步判别分析，多个带岭点回归的线性回归分析，以及多个线性离散
6. The earth mover’s distance and Bayesian linear discriminant analysis for epileptic seizure detection in scalp EEG [O] . Shasha Yuan, Jinxing Liu, Junliang Shang, 2018

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7. The earth mover’s distance and Bayesian linear discriminant analysis for epileptic seizure detection in scalp EEG [O] . Shasha Yuan, Jinxing Liu, Junliang Shang, 2018

机译：地球移动器的距离和贝叶斯线性判别分析癫痫发作检测癫痫发作检测

Gearbox pitting detection using linear discriminant analysis and distance preserving self-organizing map

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