共查询到20条相似文献，搜索用时 46 毫秒
1.
Parameters optimization and nonlinearity analysis of grating eddy current displacement sensor using neural network and genetic algorithm 总被引：1，自引：0，他引：1
A grating eddy current displacement sensor （GECDS） can be used in a watertight electronic transducer to realize long range displacement or position measurement with high accuracy in difficult industry conditions. The parameters optimization of the sensor is essential for economic and efficient production. This paper proposes a method to combine an artificial neural network （ANN） and a genetic algorithm （GA） for the sensor parameters optimization. A neural network model is developed to map the complex relationship between design parameters and the nonlinearity error of the GECDS, and then a GA is used in the optimization process to determine the design parameter values, resulting in a desired minimal nonlinearity error of about 0.11%. The calculated nonlinearity error is 0.25%. These results show that the proposed method performs well for the parameters optimization of the GECDS. 相似文献
2.
崔瑾娟 《安阳师范学院学报》2012,(2):38-40
巡回旅行商问题(TSP)是一个组合优化方面的问题,已经成为测试组合优化新算法的标准问题。应用遗传算法解决TSP问题,首先对访问城市序列进行排列组合的方法编码,这保证了每个城市经过且只经过一次。接着生成初始种群,并计算适应度函数,即计算遍历所有城市的距离。然后用最优保存法确定选择算子,以保证优秀个体直接复制到下一代。采用有序交叉和倒置变异法确定交叉算子和变异算子。最后用MATLAB来实现算法,仿真后,观察路径,得出最终结果。 相似文献
3.
程玉凯 《常熟理工学院学报》2014,(2):73-78
分析了电力系统对地电容的精确测量对系统安全运行的重要性及单相接地发生和消失后的等效电路,在此基础上推导了单相接地故障消失后零序电压的表达式。总结了零序电压振荡频率（周期）与系统对地电容的关系,并据此关系推出了可用于精确测量系统对地电容的方法。最后通过在Matlab/Simulink中搭建仿真模型,对所提方法进行了验证,仿真结果表明,所提方法可精确地测量系统对地电容的大小。 相似文献
4.
统计过程控制是过程监控与故障诊断的方法。在多变量统计过程控制中,传统的方法主要包括主元分析和偏最小二乘,这些方法存在着诸多缺陷。设计时可以应用非线性主元分析、非线性偏最小二乘、动态主元分析、自适应主元分析、多尺度主元分析等方法进行改进。研究中要重视带噪声的监控模型、过程模型信息与经验知识相结合等问题,同时可以把一些新的降维技术用于统计过程控制中。 相似文献
5.
李荣华 《实验室研究与探索》2006,25(4):445-446,475
在半波整流电容滤波电路中,由于负载电阻上输出电压的脉动较小,接近于直流电。给负载电阻的测量带来了很大误差,本文介绍了一种方法,可以准确测量电阻的大小,不受脉动大小的影响。可作为一个较好的设计性实验课题。 相似文献
6.
Fault diagnosis of valve clearance in diesel engine based on BP neural network and support vector machine 总被引：1，自引：0，他引：1
Based on wavelet packet transformation(WPT), genetic algorithm(GA), back propagation neural network(BPNN)and support vector machine(SVM), a fault diagnosis method of diesel engine valve clearance is presented. With power spectral density analysis, the characteristic frequency related to the engine running conditions can be extracted from vibration signals. The biggest singular values(BSV)of wavelet coefficients and root mean square (RMS)values of vibration in characteristic frequency sub-bands are extracted at the end of third level decomposition of vibration signals, and they are used as input vectors of BPNN or SVM. To avoid being trapped in local minima, GA is adopted. The normal and fault vibration signals measured in different valve clearance conditions are analyzed. BPNN, GA back propagation neural network (GA-BPNN), SVM and GA-SVM are applied to the training and testing for the extraction of different features, and the classification accuracies and training time are compared to determine the optimum fault classifier and feature selection. Experimental results demonstrate that the proposed features and classification algorithms give classification accuracy of 100%. 相似文献
7.
Approach for analyzing the ultimate strength of concrete filled steel tubular arch bridges with stiffening girder 总被引：2，自引：0，他引：2
ZHANG Zhi-cheng XIE Xu ZHANG He CHEN Heng-zhi 《浙江大学学报(A卷英文版)》2007,8(5):682-692
A convenient approach is proposed for analyzing the ultimate load carrying capacity of concrete filled steel tubular (CFST) arch bridge with stiffening girders. A fiber model beam element is specially used to simulate the stiffening girder and CFST arch rib. The geometric nonlinearity, material nonlinearity, influence of the construction process and the contribution of prestressing reinforcement are all taken into consideration. The accuracy of this method is validated by comparing its results with experimental results. Finally, the ultimate strength of an abnormal CFST arch bridge with stiffening girders is investigated and the effect of construction method is discussed. It is concluded that the construction process has little effect on the ultimate strength of the bridge. 相似文献
8.
The settlement curve of the foundation endured the ramp load is an S-type curve, which is usually simulated via Poisson curve. Aimed at the difficulty of preferences in Poisson curve, an immune algorithm （IA） is used. IA is able to obtain a multiple quasi-optimum solution while maintaining the population diversity. In this paper, IA is used in an attempt to obtain accurate settlement prediction. The predicted settlements obtained by IA are compared with those predicted by the least squares fitting method （LSM）, the Asaoka method and the genetic algorithm （GA）. The results show that IA is a useful technique for predicting the settlement of foundations with an acceptable degree of accuracy and has much better performance than GA and the Asaoka methods. 相似文献
9.
WU Xiao-juan ZHU Xin-jian CAO Guang-yi TU Heng-yong 《浙江大学学报(A卷英文版)》2007,8(9):1505-1509
The solid oxide fuel cell (SOFC) is a nonlinear system that is hard to model by conventional methods. So far,most existing models are based on conversion laws,which are too complicated to be applied to design a control system. To facilitate a valid control strategy design,this paper tries to avoid the internal complexities and presents a modelling study of SOFC per-formance by using a radial basis function (RBF) neural network based on a genetic algorithm (GA). During the process of mod-elling,the GA aims to optimize the parameters of RBF neural networks and the optimum values are regarded as the initial values of the RBF neural network parameters. The validity and accuracy of modelling are tested by simulations,whose results reveal that it is feasible to establish the model of SOFC stack by using RBF neural networks identification based on the GA. Furthermore,it is possible to design an online controller of a SOFC stack based on this GA-RBF neural network identification model. 相似文献
10.
The simultaneous removal of ethyl acetate, benzene and toluene with relatively low or high initial concentration is studied using a laboratory scale gliding arc gas discharge （GA） reactor. Good decomposition efficiencies are obtained which proves that the GA is effective for the treatment of volatile organic compounds （VOCs） with either low or high concentration. A theoretical decomposition mechanism is proposed based on detection of the species in the plasma region and analysis of the decomposition by-products. This preliminary investigation reveals that the GA has potential to be applied to the treatment of exhaust air during color printing and coating works, by either direct removal or combination with activated carbon adsorption/desorption process. 相似文献
11.
As the idea of simulated annealing （SA） is introduced into the fitness function, an improved genetic algorithm （GA） is proposed to perform the optimal design of a pressure vessel which aims to attain the minimum weight under burst pressure constraint. The actual burst pressure is calculated using the arc-length and restart analysis in finite element analysis （FEA）. A penalty function in the fitness function is proposed to deal with the constrained problem. The effects of the population size and the number of generations in the GA on the weight and burst pressure of the vessel are explored. The optimization results using the proposed GA are also compared with those using the simple GA and the conventional Monte Carlo method. 相似文献
12.
YU Bin TIAN Feng-chun HE Qing-hu RAN Jian LV Bo HONG Xin LIU Tao BI Yu-tian 《重庆大学学报(英文版)》2016,15(4):127-138
In this paper, a wavelet packet feature selection method for lung sounds based on optimization is proposed to obtain the best feature set which maximizes the differences between normal lung sounds and abnormal lung sounds (sounds with wheezes or rales). The proposed method includes two main steps: Firstly, the wavelet packet transform (WPT) is used to extract the original features of lung sounds; then the genetic algorithm (GA) is used to select the best feature set. The obtained optimal feature set is sent to four different classifiers to evaluate the performance of the proposed method. Experimental results show that the feature set obtained by the proposed method provides a higher classification accuracy of 94.6% in comparison with the best wavelet packet basis approach and multi-scale principal component analysis (PCA) approach. Meanwhile, the proposed method has effective generalization performance and can obtain the best feature set without priori knowledge of lung sounds. 相似文献
13.
The behavior of schools of zebrafish (Danio rerio) was studied in acute toxicity environments. Behavioral features were extracted and a method for water quality assessment
using support vector machine (SVM) was developed. The behavioral parameters of fish were recorded and analyzed during one
hour in an environment of a 24-h half-lethal concentration (LC50) of a pollutant. The data were used to develop a method to evaluate water quality, so as to give an early indication of toxicity.
Four kinds of metal ions (Cu2+, Hg2+, Cr6+, and Cd2+) were used for toxicity testing. To enhance the efficiency and accuracy of assessment, a method combining SVM and a genetic
algorithm (GA) was used. The results showed that the average prediction accuracy of the method was over 80% and the time cost
was acceptable. The method gave satisfactory results for a variety of metal pollutants, demonstrating that this is an effective
approach to the classification of water quality. 相似文献
14.
司圣柱 《安徽教育学院学报》2006,24(3):50-53
将偏最小二乘法(PLS)与可见分光光度法相结合,对胭脂红、苋菜红、日落黄三种食用色素进行不经分离的同时定量分析。使用交叉验证法选择主成分数建立了校正模型,预测结果令人满意。采用随机抽样方法研究了校正模型中样品集和样本容量对预测能力的影响,结果表明,在文章所研究的体系中,偏最小二乘法的预测能力不因样品集和样本容量的不同而有明显差异,从而说明了文章所用方法具有较大的可靠性和适用性。 相似文献
15.
鉴于矮塔斜拉桥受力性能的特殊性,引入增量动力分析（IDA）和拉丁超立方体抽样（LHS）评估该结构在地震激励下发生损伤的风险概率。首先采用LHS考虑桥梁构件材料的随机性,与事先选取的地震波相结合形成桥梁-地震动样本集合;其次在确定桥梁有限元模型主要构件损伤指标的基础上采用基于蒙特卡罗（MC）抽样的IDA进行地震易损性分析和地震风险概率评估。为验证方法的正确性和有效性,对一预应力混凝土独塔双索面矮塔斜拉桥结构模型进行地震风险概率评估,结果表明:该方法既充分考虑了材料和地震输入双重随机性又避免了繁琐的积分过程,同时也提高了工程计算的效率及精度。 相似文献
16.
针对传统启发式算法难以平衡求解收敛次数与求解精度问题,通过充分分析GA和ACO两种算法的优缺点,设计了一种改进的遗传蚁群算法。将算法分为上下两步,分别以GA和ACO为主。在GA中引入信息素更新机制连接上下两部分算法|在ACO中引入遗传变异操作尽可能扩大解的范围。同时结合两种算法各自解的继承方式,采用合适的方法分别处理这两部分产生的不可行解。获得解后,通过引入交换邻域的爬山法思想进一步尝试优化解。最终在保证求解精度的前提下,减少求解所需的迭代次数。实验结果表明,在需要保证求解精度的前提下,相比传统GA,该方法的求解效率提高了一个量级。 相似文献
17.
电容层析成像是检测封闭空间内部不同介电常数物质分布的有效技术手段。常见的电容层析成像系统被测对象直径一般为10 cm左右,电容检测电路的工作电压一般不超过20 Vpp。当ECT系统应用在粮仓等大尺寸的对象上时,需要提高激励电压以较高的灵敏度和分辨率,从而获得良好重建图像。文章介绍了高压激励电容层析成像系统的结构,给出了内置8极板电容传感器阵列的详细参数,并介绍了几种典型的分布模型的重建图像和误差数据。实验表明：本文所设计的高压电容层析成像系统具有良好的图像重建能力。 相似文献
18.
针对热舒适研究中皮肤温度测量精度不高的问题,提出了一种采用基于薄膜铂电阻（Pt1000）传感器的新型温度计测量皮肤温度的方法.该温度计把传感器焊接在印刷电路基板上,以消除引线导热产生的传热误差,并隔绝周围热环境的影响.为确定合适的基板厚度,建立了一种稳态传热模型.模拟结果表明,厚度为0.2mm的基板可有效隔绝空气影响,同时不会造成基板下皮肤显著温升.实验验证结果表明,测量皮肤温度时该温度计的最大测量误差为0.24℃,平均测量误差仅为0.04℃.因此,该方法是一种有效可靠的、适用于热舒适研究的皮肤温度测量方法. 相似文献
19.
有效地混合了遗传算法和基于约束满足的自适应神经网络算法,对于一类加工时间可变的调度问题进行了研究.遗传算法被用来进行迭代寻优.当前代经交叉和变异后生成的染色体对应非可行解,由自适应神经网络运算后得到可行解,对应的染色体作为新一代染色体.本算例的目标函数是基于任务的提前/拖期惩罚、附加惩罚以及加工时间的偏离量惩罚,目标是确定最优加工时间和最优加工顺序极小化目标函数,并与一般的遗传算法相比较,实验结果说明了遗传/自适应神经网络算法混合算法的有效性. 相似文献
20.
Electrical discharge machining （EDM） process, at present is still an experience process, wherein selected parameters are often far from the optimum, and at the same time selecting optimization parameters is costly and time consuming. In this paper, artificial neural network （ANN） and genetic algorithm （GA） are used together to establish the parameter optimization model. An ANN model which adapts Levenberg-Marquardt algorithm has been set up to represent the relationship between material removal rate （MRR） and input parameters, and GA is used to optimize parameters, so that optimization results are obtained. The model is shown to be effective, and MRR is improved using optimized machining parameters. 相似文献