PCA SPE T2 Contribution Simulink matlab
matlab不可多得的代码 利用simulink仿真数据 涉及到PCA,SPE及其控制限,T2及其控制限,以及在超限时原始变量的贡献图。不管对算法或者GUI的制作都有很大的帮助意义。本人使用的时matlab2017b,不保证其他版本能否打开,谨慎下载!!
代码片段和文件信息
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
文件 860 2018-01-17 14:50 A benchmark software for multivariate statistical process control.addOnmetadatametadata.xml
文件 8684315 2018-01-17 14:51 A benchmark software for multivariate statistical process control.addOnmetadataMSPC.1.6.zip
文件 14693 2018-01-17 14:51 A benchmark software for multivariate statistical process control.addOnmetadatapreviewImage.png
文件 4511 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecolamod.m
文件 1746 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecolas.m
文件 12281 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecolas_PI.m
文件 121099 2018-01-17 15:33 A benchmark software for multivariate statistical process controlcodecolas_PI.mdl
文件 114873 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecolas_PI.mdl.r2009b
文件 774 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_init.mat
文件 774 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_init_PO1.mat
文件 705 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_init_PO2.mat
文件 700 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_init_PO3.mat
文件 699 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_init_PO4.mat
文件 1426 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_lv.m
文件 2115 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeCreateFeedSignal.m
文件 8539087 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeexample.cdb
文件 2802 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeInterpTemp.m
文件 1304 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodelicense.txt
文件 126218 2018-01-17 16:26 A benchmark software for multivariate statistical process controlcodeMSPC_main.fig
文件 127020 2018-01-17 16:26 A benchmark software for multivariate statistical process controlcodeMSPC_main.m
文件 7441 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_scores.fig
文件 12614 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_scores.m
文件 5884 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_SPE.fig
文件 7814 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_SPE.m
文件 8554 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_T2.fig
文件 10897 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_T2.m
文件 4116 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_variance.fig
文件 4356 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_variance.m
文件 4258 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeqFactor.m
文件 453850 2018-01-17 15:41 A benchmark software for multivariate statistical process controlcodeSim_20180117145154.cdb
............此处省略10个文件信息
function xprime=colamod(tXU)
%
% colamod - This is a nonlinear model of a distillation column with
% NT-1 theoretical stages including a reboiler (stage 1) plus a
% total condenser (“stage“ NT). The liquid flow dynamics are
% modelled by a simple linear relationship.
% Model assumptions: Two components (binary separation); constant
% relative volatility; no vapor holdup; one feed and two products;
% constant molar flows (same vapor flow on all stages);
% total condenser
%
% The model is based on column A in Skogestad and Postlethwaite
% (1996). The model has 82 states.
%
% Inputs: t - time in [min].
% X - State the first 41 states are compositions of light
% component A with reboiler/bottom stage as X(1) and
% condenser as X(41). State X(42)is holdup in reboiler/
% bottom stage and X(82) is hold-up in condenser.
% U(1) - reflux L
% U(2) - boilup V
% U(3) - top or distillate product flow D
% U(4) - bottom product flow B
% U(5) - feed rate F
% U(6) - feed composition zF.
% U(7) - feed liquid fraction qF.
%
% Outputs: xprime - vector with time derivative of all the states
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%------------------------------------------------------------
% The following data need to be changed for a new column.
% These data are for “colmn A“.
% Number of stages (including reboiler and total condenser:
NT=41;
% Location of feed stage (stages are counted from the bottom):
NF=21;
% Relative volatility
alpha=1.5;
% Nominal liquid holdups
M0(1)=0.5; % Nominal reboiler holdup (kmol)
i=2:NT-1; M0(i)=0.5*ones(1NT-2);% Nominal stage (tray) holdups (kmol)
M0(NT)=0.5; % Nominal condenser holdup (kmol)
% Data for linearized liquid flow dynamics (does not apply to reboiler and condenser):
taul=0.063; % time constant for liquid dynamics (min)
F0=1; % Nominal feed rate (kmol/min)
load cola_init
qF0 = Uinit(7);%1; % Nominal fraction of liquid in feed
L0=Uinit(1);%2.70629; % Nominal reflux flow (from steady-state data)
L0b=L0 + qF0*F0; % Nominal liquid flow below feed (kmol/min)
lambda=0; % Effect of vapor flow on liquid flow (“K2-effect“)
V0=Uinit(2);%3.20629;
V0t=V0+(1-qF0)*F0;% Nominal vapor flows - only needed if lambda is nonzero
% End data which need to be changed
%------------------------------------------------------------
% Splitting the states
x=X(1:NT)‘; % Liquid composition from btm to top
M=X(NT+1:2*NT)‘; % Liquid hold up from btm to top
% Inputs and disturbances
LT = U(1); % Reflux
VB = U(2); % Boilup
D = U(3); % Distillate
B = U(4);
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
文件 860 2018-01-17 14:50 A benchmark software for multivariate statistical process control.addOnme
文件 8684315 2018-01-17 14:51 A benchmark software for multivariate statistical process control.addOnme
文件 14693 2018-01-17 14:51 A benchmark software for multivariate statistical process control.addOnme
文件 4511 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecolamod.m
文件 1746 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecolas.m
文件 12281 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecolas_PI.m
文件 121099 2018-01-17 15:33 A benchmark software for multivariate statistical process controlcodecolas_PI.mdl
文件 114873 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecolas_PI.mdl.r2009b
文件 774 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_init.mat
文件 774 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_init_PO1.mat
文件 705 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_init_PO2.mat
文件 700 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_init_PO3.mat
文件 699 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_init_PO4.mat
文件 1426 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodecola_lv.m
文件 2115 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeCreateFeedSignal.m
文件 8539087 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeexample.cdb
文件 2802 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeInterpTemp.m
文件 1304 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodelicense.txt
文件 126218 2018-01-17 16:26 A benchmark software for multivariate statistical process controlcodeMSPC_main.fig
文件 127020 2018-01-17 16:26 A benchmark software for multivariate statistical process controlcodeMSPC_main.m
文件 7441 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_scores.fig
文件 12614 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_scores.m
文件 5884 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_SPE.fig
文件 7814 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_SPE.m
文件 8554 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_T2.fig
文件 10897 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_T2.m
文件 4116 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_variance.fig
文件 4356 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeMSPC_variance.m
文件 4258 2018-01-17 14:51 A benchmark software for multivariate statistical process controlcodeqFactor.m
文件 453850 2018-01-17 15:41 A benchmark software for multivariate statistical process controlcodeSim_20180117145154.cdb
............此处省略10个文件信息
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