登录
首页 » matlab » Rotor Dynamics toolbox (RotFE)

Rotor Dynamics toolbox (RotFE)

于 2021-02-17 发布 文件大小:629KB
0 184
下载积分: 1 下载次数: 23

代码说明:

  改工具包包含转子动力学建模最进本的程序软件,可实现基本的转子振动分析(This package contain the most dynamic modeling of the rotor of the program software, you can achieve the basic analysis of rotor vibration)

文件列表:

Rotor Dynamics toolbox (RotFE)
Rotor Dynamics toolbox (RotFE)\.DS_Store
Rotor Dynamics toolbox (RotFE)\demo_rotfe.m
Rotor Dynamics toolbox (RotFE)\doc
Rotor Dynamics toolbox (RotFE)\doc\Alan_RRA_reply_reduct.doc
Rotor Dynamics toolbox (RotFE)\doc\Convergence of the FE model.doc
Rotor Dynamics toolbox (RotFE)\doc\Model order reduction in ROTFE 2.doc
Rotor Dynamics toolbox (RotFE)\doc\New features and modifications in RotFE 2.doc
Rotor Dynamics toolbox (RotFE)\doc\ROTFE20a.doc
Rotor Dynamics toolbox (RotFE)\doc\Rotor Dynamics software in Matlab.doc
Rotor Dynamics toolbox (RotFE)\doc\coordinates.doc
Rotor Dynamics toolbox (RotFE)\doc\model reduction.doc
Rotor Dynamics toolbox (RotFE)\doc\rotexample.doc
Rotor Dynamics toolbox (RotFE)\draw_plane.m
Rotor Dynamics toolbox (RotFE)\license.txt
Rotor Dynamics toolbox (RotFE)\make_asym_frf.m
Rotor Dynamics toolbox (RotFE)\models
Rotor Dynamics toolbox (RotFE)\models\asym51.m
Rotor Dynamics toolbox (RotFE)\models\beit_sun.m
Rotor Dynamics toolbox (RotFE)\models\cobra0.m
Rotor Dynamics toolbox (RotFE)\models\cobra0a.m
Rotor Dynamics toolbox (RotFE)\models\cobra0at.m
Rotor Dynamics toolbox (RotFE)\models\cobra0at2.m
Rotor Dynamics toolbox (RotFE)\models\cobra0at3.m
Rotor Dynamics toolbox (RotFE)\models\cobra1.m
Rotor Dynamics toolbox (RotFE)\models\isqrt32.m
Rotor Dynamics toolbox (RotFE)\models\lacm.m
Rotor Dynamics toolbox (RotFE)\models\lacm2.m
Rotor Dynamics toolbox (RotFE)\models\lacm3.m
Rotor Dynamics toolbox (RotFE)\models\lacm4a.m
Rotor Dynamics toolbox (RotFE)\models\lacm4b.m
Rotor Dynamics toolbox (RotFE)\models\lacm4c.m
Rotor Dynamics toolbox (RotFE)\models\manydisks.m
Rotor Dynamics toolbox (RotFE)\models\ofer1.m
Rotor Dynamics toolbox (RotFE)\models\pmet1.m
Rotor Dynamics toolbox (RotFE)\models\pmet2.m
Rotor Dynamics toolbox (RotFE)\models\pmet4.m
Rotor Dynamics toolbox (RotFE)\models\pmet4a.m
Rotor Dynamics toolbox (RotFE)\models\questStar.m
Rotor Dynamics toolbox (RotFE)\models\questStart
Rotor Dynamics toolbox (RotFE)\models\rotsfuncw.m
Rotor Dynamics toolbox (RotFE)\models\rz0.m
Rotor Dynamics toolbox (RotFE)\models\rz1.m
Rotor Dynamics toolbox (RotFE)\models\rz2.m
Rotor Dynamics toolbox (RotFE)\models\rz3.m
Rotor Dynamics toolbox (RotFE)\models\rz4.m
Rotor Dynamics toolbox (RotFE)\models\shaft1e.asv
Rotor Dynamics toolbox (RotFE)\models\shaft1e.m
Rotor Dynamics toolbox (RotFE)\models\sim_tutorial.mdl
Rotor Dynamics toolbox (RotFE)\models\sim_tutorial2.mdl
Rotor Dynamics toolbox (RotFE)\models\sim_tutorial3.mdl
Rotor Dynamics toolbox (RotFE)\models\simple1s.m
Rotor Dynamics toolbox (RotFE)\models\simple2s.m
Rotor Dynamics toolbox (RotFE)\models\simple4.m
Rotor Dynamics toolbox (RotFE)\models\simple4s.m
Rotor Dynamics toolbox (RotFE)\models\simrotor1.mdl
Rotor Dynamics toolbox (RotFE)\models\simrotor3a.mdl
Rotor Dynamics toolbox (RotFE)\models\statetest.mdl
Rotor Dynamics toolbox (RotFE)\models\tempmat.mat
Rotor Dynamics toolbox (RotFE)\models\temporary1.m
Rotor Dynamics toolbox (RotFE)\models\threedis.m
Rotor Dynamics toolbox (RotFE)\models\tmecha.m
Rotor Dynamics toolbox (RotFE)\models\tmecha1m.m
Rotor Dynamics toolbox (RotFE)\models\tmecha_asym.m
Rotor Dynamics toolbox (RotFE)\models\tmp.mat
Rotor Dynamics toolbox (RotFE)\models\tmtestrot.m
Rotor Dynamics toolbox (RotFE)\models\tst_frf1.m
Rotor Dynamics toolbox (RotFE)\models\tst_reduce1.m
Rotor Dynamics toolbox (RotFE)\models\tst_reduce2.m
Rotor Dynamics toolbox (RotFE)\models\tst_sim1.m
Rotor Dynamics toolbox (RotFE)\models\tst_sim2.m
Rotor Dynamics toolbox (RotFE)\models\tst_sim3.m
Rotor Dynamics toolbox (RotFE)\models\tutorial.m
Rotor Dynamics toolbox (RotFE)\models\unbal1.m
Rotor Dynamics toolbox (RotFE)\models\unbal2.m
Rotor Dynamics toolbox (RotFE)\models\uspiz.m
Rotor Dynamics toolbox (RotFE)\must_read.txt
Rotor Dynamics toolbox (RotFE)\new
Rotor Dynamics toolbox (RotFE)\new\.DS_Store
Rotor Dynamics toolbox (RotFE)\new\MKEIG.M
Rotor Dynamics toolbox (RotFE)\new\addpdamp.m
Rotor Dynamics toolbox (RotFE)\new\animate2.m
Rotor Dynamics toolbox (RotFE)\new\another.m
Rotor Dynamics toolbox (RotFE)\new\campbell.m
Rotor Dynamics toolbox (RotFE)\new\campbellp.m
Rotor Dynamics toolbox (RotFE)\new\contents.m
Rotor Dynamics toolbox (RotFE)\new\disprot.m
Rotor Dynamics toolbox (RotFE)\new\disprotinfo.m
Rotor Dynamics toolbox (RotFE)\new\disprotinfo3d.m
Rotor Dynamics toolbox (RotFE)\new\drawrot.m
Rotor Dynamics toolbox (RotFE)\new\drawrot3d.m
Rotor Dynamics toolbox (RotFE)\new\drawrot3d_sec.m
Rotor Dynamics toolbox (RotFE)\new\drawrot3d_spring.m
Rotor Dynamics toolbox (RotFE)\new\drawrot3d_spring2.m
Rotor Dynamics toolbox (RotFE)\new\eigl.m
Rotor Dynamics toolbox (RotFE)\new\misalign_demo.m
Rotor Dynamics toolbox (RotFE)\new\modeplot.1m.m
Rotor Dynamics toolbox (RotFE)\new\modeplot.m
Rotor Dynamics toolbox (RotFE)\new\modeplot1.m
Rotor Dynamics toolbox (RotFE)\new\modeplot2.m

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • 5
    一道程序编译顺序的考题,涉及到函数调用的先后顺序及运算符号的优先级等问题。下面我展开给你讲。 C的程序编译总是从main函数开始的,这道题的重点在“fun((int)fun(a+c,b),a-c)) ”语句。 系统首先要确定最外层 fun()函数的实参,第一个参数的确定需要递归调用fun()函数(不妨称其为内层函数)。内层函数的两个参数分别为x=a+b=2+8=10、y=b=5,执行函数体x+y=10+5=15,于是得外层函数的参数x=15。其另一个参数y=a-c=2-b=-6,再次执行函数体,得最终返回值x+y=15+(-6)=9。 (Compiling together the sequence of test procedures, involving the sequence of function calls and operator symbols, such as the priority problem. Now I give you to start speaking. Procedures for C compiler always start from the main function and at这道题the focus of " fun ((int) fun (a+ c, b), ac)) " statement. System must first determine the most outer layer of fun () function of real parameters, the first parameters of recursive calls required fun () function (may be called the inner function). Inner function separately for the two parameters x = a+ b = 2+8 = 10, y = b = 5, to execute the function body x+ y = 10+5 = 15, then the outer function parameters were x = 15 . Its another parameter y = ac = 2-b =- 6, once again to execute the function body may eventually return the value of x+ y = 15+ (-6) = 9.)
    2009-03-15 15:36:23下载
    积分:1
  • V2_1
    Addition and subtraction of signals matlab code
    2014-12-31 15:06:39下载
    积分:1
  • 201312-1091
    基于混沌理论的一种安全压缩感知方案设计201312-1091(The Application of Compressed Sensing in Image Compression)
    2014-02-04 17:44:48下载
    积分:1
  • Natural-Image-manage
    一篇有关利用轮廓在自然图像中检测和定位交点的英文文献,该方法是在64位操作系统中进行的(One on the use of contours in natural images to detect and locate the intersection of English literature, the method is a 64-bit operating system for the)
    2013-09-05 16:55:24下载
    积分:1
  • 26204-800
    AMR WB+ 基于3GPP标准的宽带Adaptive Multi-Rate - Wideband 实现(3rd Generation Partnership Project Technical Specification Group Services and System Aspects Speech codec speech processing functions Adaptive Multi-Rate- Wideband (AMR-WB) speech codec ANSI-C code )
    2015-01-04 20:02:45下载
    积分:1
  • GRNN
    基于BP和GRNN神经网络的粮食产量预测研究,通过训练样本和测试样本的交叉验证,实现粮食产量预测效果的最佳化(Prediction of Grain Yield BP and GRNN based training through cross-validation and testing samples, to achieve the best effect of the Grain Production Forecast)
    2016-04-08 09:55:07下载
    积分:1
  • cs
    说明:  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)
    2014-12-01 09:12:38下载
    积分:1
  • slepian
    Blackamnn Tukey spectral estimation method
    2013-04-07 22:20:26下载
    积分:1
  • A-genetic-algorithm
    用于结合现有影像和新影像的多光谱图像处理工具的遗传算法,描述了基于遗传算法的监督分类等影像处理工具的程序实现。(For images and new images with the existing multi-spectral image processing tools, genetic algorithms, describes the classification based on genetic algorithms and other image processing tools to monitor the program implementation.)
    2011-05-11 15:47:05下载
    积分:1
  • Compressive_Sensing_DCT_Noiselet[1]
    对DCT系数进行观测,考虑到系数的重要程度(compressivesensing for the DCT coefficients and consider the inportance of the coefficients)
    2012-05-21 17:19:45下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载