Predicting the financial crisis by Mahalanobis–Taguchi system – Examples of Taiwan’s electronic sector

In the past researches of financial crisis early-warning model, multiple regression, linear probability model, and multiple discriminate analysis are commonly adopted, all of which have generated good discrimination effects, with over 90% accuracy. Dr. Taguchi, well known for his robust design, has lately brought up a new method – Mahalanobis–Taguchi System (MTS), which is mainly used to conduct multivariate diagnoses and forecasts. This study attempts to use MTS to build up a financial crisis early-warning model for Taiwan’s companies. It chooses both in financial sound judgment and in financial trouble TSE- and OTC-listed electronic companies in 2005 as training set and uses both in financial sound judgment and in financial trouble TSE- and OTC-listed electronic companies in 2006 as testing set to verify the accuracy of this model. There are two phases in our research, in which we firstly use MTS, logistic regression and neural network to establish the financial crisis early-warning model, followed by a comparative analysis of average accuracy rate of financial prediction in the second phase. The result of experiment shows that the accuracy rate of financial crisis early-warning system established by MTS, logistic regression and neural network are 96.1%, 92.3%, and 96.1%, respectively, indicating that MTS provides greater application effect in predicting financial crisis.     

零件形状误差的MTS测量识别方法

针对工业生产中的对机器人视觉及产品实时质量监控,提出了机械零件的MTS(Mallalnobis-Taguchi System)判别分类方法。并以Tauchi方法对判别特征进行优化筛选,减少了无用特征和“噪音”的干扰,以马氏距离(Mallalanobis Distance)作为判别分类的判据。实验表明该方法能有效提高判别分类的速度和精确度。     

马田系统与SVM相集成的模式识别技术研究

为了解决现有马田系统阈值确定方法的不足,基于超球面支持向量机算法,构建了单类及二类超椭球面支持向量机算法,并理论上证明了此算法可转换为二次规划模型。推导了基于超椭球面支持向量机的马田系统阈值确定公式。将所提出的方法应用于故障诊断,得到了较高的判别正确率。     

Incipient mechanical fault detection based on multifractal and MTS methods

An incipient mechanical fault detection method, combining multifractal theory and Mahalanobis-Taguchi system （MTS）, which is based on statistical technology, is proposed in this paper. Multifractal features of vibration signals obtained from machine state monitoring are extracted by multifractal spectrum analysis and generalized fractal dimensions. Considering the situation of mass samples of normal mechanical running state and few fault states, the feature parameters corresponding to different mechanical running states are further optimized by a statistical method, based on which incipient faults are subsequently identified and diagnosed accurately. Experimental results proved that the method combining multifractal theory and MTS can be used for incipient fault state recognition effectively during the mechanical running process, and the accuracy of fault state identification is improved.     

青海乡域中小学教室内学生冬季的热舒适性

对青海乡域4所典型中小学校10间教室冬季室内温湿度、风速、黑球温度等热环境参数进行现场测试,同时对420余名青少年学生的衣着情况、热感觉评价等进行了主观问卷调查。对测试和调查结果进行统计分析,得到实测和预测热中性温度分别为13.8和14.5℃,热期望温度为16.2℃,90%的学生感到满意的舒适温度范围为15.8~18.7℃。在当地寒冷的气候条件、学生衣着习惯、心理期望及生理特性等因素影响下,中小学生形成了对偏冷环境的适应性,提出可利用适应性PMV模型(aPMV)对中小学生平均热感觉进行准确预测。可为乡域中小学教室冬季热环境设计提供依据。     

基于MTS试验机的磁流变阻尼器性能研究

分析了磁流变阻尼器的工作原理和理论计算模型。利MTS810试验机对MRD-60型磁流变阻尼器进行了力学性能试验,研究了在不同的控制电流、激振频率、振幅条件下,磁流变阻尼器的阻尼力与活塞杆位移、速度的特性关系,分析了外界激振力与阻尼力的响应试验,验证了力学特性的相关理论问题。采用MATLAB软件对试验数据进行了分析处理,研究了性能试验曲线中的一些特殊理论和技术问题,为磁流变阻尼器的研制和工程应用提供了重要参考依据。     

基于MTS/COM+中间件的开发与应用

本文通过分布式出版MIS系统开发实例，对基于Client/Server两层和N层模式进行分析，并着重介绍MTS／COM＋中间件的系统架构和提供的事务管理功能，最后以Delphi5.0为开发平台，成功实现了基于MTS／COM＋中间件的分布式出版系统。     

基于MTS/COM+安全机制的设计与实现

介绍了MTS／COM＋安全机制的原理，基本模型，MTS／COM＋“角色”安全机制的设计。最后，以实例来说明MTS／COM＋的安全机制的实现。     

基于Web的考试系统实现技术

本文简术字基于Web技术的网络考试系统，分析了分布式Web应用系统及其相关的ASP技术、COM组件技术及MTS技术，最后介绍了如何利用Delphi5.0提供的Internet Express技术开发分布式应用系统。     

应用程序类型对Web应用系统执行效率的影响分析

在Web应用系统的服务器端主要有四种应用程序类型,它们是CGI类型、ISAPI/NSAPI类型、ASP类型和结合中间件MTS类型应用程序。文章在分析了影响分布式应用程序执行效率的几种关键技术的基础上,着重讨论并比较了各类型的应用程序对Web应用系统执行效率影响问题。