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NEW FEATURE SELECTION method IN MACHINE FAULT DIAGNOSIS

Chinese Journal of Mechanical Engineering 2005年第2期18卷 251-254页

作者： WangXinfeng QiuJing LiuGuanjun CollegeofMechatronicsEngineeringandAutomation NationalUniversityofDefenseTechnologyChangsha410073China

Aiming to deficiency of the filter and wrapper feature selection methods, anew method based on composite method of filter and wrapper method is proposed. First the methodfilters original features to form a feature subset which can meet classification correctness rate,then applies wrapper feature selection method select optimal feature subset. A successful techniquefor solving optimization problems is given by genetic algorithm (GA). GA is applied to the problemof optimal feature selection. The composite method saves computing time several times of the wrappermethod with holding the classification accuracy in data simulation and experiment on bearing faultfeature selection. So this method possesses excellent optimization property, can save more selectiontime, and has the characteristics of high accuracy and high efficiency.

关键词： Feature selection Filter method wrapper method Composite method Mutualinformation Genetic algorithm (GA)

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Relationship Analysis for Active Travel Wellbeing with Personal Demographics:Comparison between Two Regions

Relationship Analysis for Active Travel Wellbeing with Perso...

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作者： Muhammad Shoaib（艾博）东南大学

学位级别：硕士

Active travelling encourages good *** study is to analyze the wellbeing of the active traveler along with the personal demographic factors based on the comparison between data collected from Pakistan and ATUS *** wrapper method with backward elimination was employed to extract the influential factors and a ridge regression model was developed to analyze the relationship between active traveler wellbeing and personal demographic *** graphical analysis of the data was performed to develop and analyze the respondent behavior based on their age and *** the analysis,it was found that rest degree,any interaction,age group,and rest degree feeling as previous and meaningful activity were the most significant features extracted from both datasets *** regression was performed on both data sets to assess the composite happiness of the respondent and to observe the effect of each *** of rest and income found the highly effective features from ATUS data and data collected in Pakistan ***,from graphical analysis,an increase in composite happiness is found with the expansion of *** the age group,19-25 years respondents from Pakistan have higher composite happiness,for age group26-35 years,respondents from both countries have similar results and for age group 36-50 years respondents from America have higher composite happiness than *** were happier than the female group except for the age group 26-35 years of Pakistani *** study is a good initialization for the planning of major facilities' locations and their distances from the residential areas.

关键词： Active Travel Wellbeing Personal Demographics wrapper method Ridge Regression

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