Comparison of fuzzy logic based models for the multi-response surface problems with replicated response measures

A replicated multi-response experiment is a process that includes more than one responses with replications. One of the main objectives in these experiments is to estimate the unknown relationship between responses and input variables simultaneously. In general, classical regression analysis is used for modeling of the responses. However, in most practical problems, the assumptions for regression analysis cannot be satisfied. In this case, alternative modeling methods such as fuzzy logic based modeling approaches can be used. In this study, fuzzy least squares regression (FLSR) and fuzzy clustering based modeling methods, which are switching fuzzy C-regression (SFCR) and Takagi–Sugeno (TS) fuzzy model, are preferred. The novelty of the study is presenting the applicability of SFCR to the multi-response experiment data set with replicated response measures. Three real data set examples are given for application purposes. In order to compare the prediction performance of modeling approaches, root mean square error (RMSE) criteria is used. It is seen from the results that the SFCR gives the better prediction performance among the other fuzzy modeling approaches for the replicated multi-response experimental data sets.     

Sensor fault estimation of PEM fuel cells using Takagi Sugeno fuzzy model

This paper presents a sensor fault estimation scheme for polymer electrolyte membrane (PEM) fuel cells using Takagi Sugeno (TS) fuzzy model. First, PEM fuel cell systems with sensor faults are modelled by TS fuzzy model. Next, by adding a first order filter, an augmented TS fuzzy system with actuator fault is obtained. Then, for the augmented system, an unknown input observer (UIO) and a fault estimator are developed. The UIO gains are computed by solving linear matrix equalities (LMEs) and linear matrix inequalities (LMIs). The UIO convergence and stability are analyzed and the performances of the proposed fault estimation scheme is demonstrated by numerical simulations for a PEM fuel cell system with return manifold pressure and hydrogen mass sensors.     

Synthesis and two-step sintering behavior of solution derived corundum abrasives with plate-like grains

Corundum abrasives with plate-like grains were fabricated by a two-step sintering technique using the solution-based process with the addition of the ternary compound additive Na₃AlF₆-CaO-SiO₂. The two-step sintering method showed obvious advantages over conventional sintering methods in promoting sample densification, suppressing grain growth, and homogenizing the microstructure of the corundum abrasives. The sample doped with 2.5?wt% Na₃AlF₆ and 4?wt% CaO + SiO₂ in the molar ratio of 1:1 possessed a relative density of 99.3%, average grain size of 0.54?µm, and single-particle compressive strength of 49?N. The introduction of seeds reduced the temperature of θ- to α-Al₂O₃ phase transformation. The relationship between the microstructure and the mechanical properties of the abrasives was also discussed.     

Leica TS11全站仪数据格式转换方法及应用

本文介绍了Leica TS11全站仪的数据格式,并对GPSeismic软件的数据格式进行了分析。详细阐述了通过Excel VBA宏功能将Leica TS11全站仪测量数据导入GPSeismic软件中的方法以及在物探导线测量中的应用。     

嵌入式语音控制选单系统的实现与应用

采用ARM处理器$3C2440A构建嵌入式系统，利用音频芯片UDA1341TS对语音信号进行编解码，应用语音识别技术实现语音控制。介绍了系统设计原理和工作机制，并阐述了控制选单的软硬件设计方案和识别算法原理，给出测试方法。实验结果表明，系统能实现特定指令的语音控制，识别率高、实时性好，可适应复杂的工作环境。     

核反应堆试验台架比例分析方法的发展和应用

比例分析方法为建立合理的反应堆安全系统缩比试验台架提供了理论基础。本文结合比例分析方法的发展，探讨了不同比例方法的特点，并总结了部分已有台架的比例设计概念及评价，为反应堆系统试验台架比例方法的选取提供了参考。结果表明，线性比例方法中的加速度比例项使其应用受到限制；功率-体积法是一种简单有效的比例方法，但瘦高台架的特点也使此方法存在不可避免的弱点；H2TS（HierarchicalTwo-TieredScaling）方法以PIRT（PhenomenaIdentificationRankingTable）表为基础，对系统中重要整体过程和局部过程均进行了比例分析，其发展的相似准则中含有流体物性比例项，为台架比例概念的发展提供了条件。我国将以H2TS方法为指导建立非能动堆芯冷却系统试验台架ACME。     

TS20XS系列DSP程序优化设计方法及应用

TS20XS系列DSP是一款高性能数字信号处理器＾［7］。由于在实际工程中对算法的实时性要求越来越高,所以要合理使用DSP的硬件资源和编程语言,进而减少指令的执行周期,提高算法的运行效率。．本文分别从TS20XS系列DSP两组寄存器组的使用、IF—DO—ELsE指令的使用、系数存储单元的合理分配、指令间延时的减少、双整型逻辑运算单元的综合运用这几方面探讨了DSP程序的优化设计方法,并结合实例给出优化设计结果。     

一种雷达组网融合实时处理系统设计与实现

雷达组网对于提高雷达系统目标探测及抗干扰能力具有重要的意义。设计并实现了一种基于ADSPTS201的组网雷达数据融合实时处理系统。主要阐述了双ADSPTS201并行处理系统的结构、算法量的估计与结果分析。系统可满足集中式组网融合和分布式组网融合的实时处理需求。该系统还具有灵活性和可扩展性,可满足组网雷达信号处理的多样性...     

基于TS201的软件优化设计

数据实时处理能力是雷达信号处理等实时系统的重要指标,提高软件运行效率是系统软件设计中必须要考虑的问题。大批量数据读取和存储操作存在于信号处理各工作阶段,对其进行充分优化是信号处理软件设计的重要组成部分。在此以ADSP TS201平台数据转存为例,描述了软件优化的设计思路和处理方法,运行结果表明,充分应用DSP并行处理特性和宽数据操作,采用汇编语言编程,可以使软件运行效率得到显著提高。