健康监测传感器分析

1、ProjectOneCableforceestimationforon-sitecablemonitoringKnowninformation:Thewavelengthvariationsandthetheoreticalcableforcesaregiven.Thedataarefromcablefactoryconstructionsite.Question:Pleaseestimatethecableforceswithwavelengthmeasurementslistedinthefollowingtableandanswerfurtherquestionslistedbelow.

2、张拉顺序号智能索索应变筋I波K:(nni)应变筋U波长(mil)温度筋波Ki(iim)索力(kN)油泵加载级别(油泵加载力.kN)理论值(kN)8LS541546.3011538.5841564.86140%(1551.2)1551.209LS541546.5201538.8291564.87560%(2326.8)2326.8010LS541546.11539.0511564.86480%(3102.4)3102.4011LS541546.F1539.0451564.85880%(3102.4)3102.4012LS541546.8991539.1571564.84690%(3490.2)3

3、490.2013LS541546.9901539.2431564.85695%(3684.1)3684.1014LS541546.9891539.2341564.84095%(3684.1)3684.1015LS541547.0381539.2SO1564.846100%(3878)3878.0016LS54154.0381539.2781564.842100%3878.0017LS541546.9411539.T61564.787回油至20%3878.0018LS541546.93S1539.1741564.805回油至03878.00Solution首先，通过数据分析，我们要得到波长的变化

4、值张拉顺序号智能索索应变筋I应变筋II波长温度筋波应力波长应力波长温度波长波长综合号波长（nm）(nm)长(nm)变化值1变化值2变化值变化值0LS541546.0771537.9781564.8751LS541546.1301538.2881564.8130.0530.310-0.0620.2432LS541546.1441538.3701564.8220.0670.392-0.0530.2833LS541546.1811538.4511564.8370.1040.473-0.0380.3274LS541546.2431538.5151564.8480.1660.537-0.0270.379

5、5LS541546.2981538.5811564.8500.2210.603-0.0250.4376LS541546.2101538.4271564.8140.1330.449-0.0610.3527LS541546.2001538.4371564.8210.1230.459-0.0540.3458LS541546.3011538.5841564.8610.2240.606-0.0140.4299LS541546.5201538.8291564.8750.4430.8510.0000.64710LS541546.7711539.0511564.8640.6941.073-0.0110.894

6、11LS541546.7731539.0451564.8580.6961.067-0.0170.89912LS541546.8991539.1571564.8460.8221.179-0.0291.02913LS541546.9901539.2431564.8560.9131.265-0.0191.10814LS541546.9891539.2341564.8400.9121.256-0.0351.11915LS541547.0381539.2801564.8460.9611.302-0.0291.16016LS541547.0381539.2781564.8420.9611.300-0.03

7、31.16317LS541546.9411539.1761564.7870.8641.198-0.0881.11918LS541546.9381539.1741564.8050.8611.196-0.0701.098为了建立索力与波长的关系，我们设前5个点作为标定值，如下表所示，因为波长的变化值与索力的变化值存在一定的关系。张拉顺序号智能索索号波长综合变化值索力变化差值索力（kN）油泵加载级别（油泵加载力.kN）理论值（kN）0LS540.00初始0.00标定值1LS540.243775.600775.6020%（标定）775.602LS540.283969.500969.5025%（标定）9

8、69.503LS540.3271163.4001163.4030%（标定）1163.404LS540.3791357.3001357.3035%（标定）1357.305LS540.4371551.2001551.20040%（标定）1551.20Quation1为了比较不同hiddenlayers,不同的neurons我们设置了以下3种情况HiddenlayersneuronsNo1251No22101No33551Thenumberofhiddenlayer:2Thenumberofneuronsforeachhiddenlayer:5and1Transferfunctions:pureli

9、nandpurelin;OtherconditionisthesameTheMatlabprocedureareasfollows:P=00.2430.2830.3270.3790.437;T=0775.6969.51163.41357.31551.2;net=newff(P,T,5,purelinpurelin);net.trainparam.show=50;net.trainparam.epochs=500;net.trainparam.goal=0.01;net=train(net,P,T);Y=sim(net,P);PP=0.3520.3450.4290.6470.8940.8991.

10、0291.1081.1191.1601.1631.1191.098;YY=sim(net,PP);figureplot(P,T,-o,P,Y,-+,PP,YY,-*)xlabel(lncrementinwavelength/nm);ylabel(lncrementincableforce/KN);PPYY1.41.20.40.60.81Incrementinwavelength/nm0.2oooooo505443ooooo532ooooo521-5OOoNM、aoQJ.a-qEou-lu4Duu4Dou-张拉顺序号智能索索号索力（kN）油泵加载级别（油泵加载力.kN）理论值（kN）误差,x-X

11、,|测|X真0LS540.00初始0.00标定值1LS54775.6020%（标定）775.602LS54969.5025%（标定）969.503LS541163.4030%（标定）1163.404LS541357.3035%（标定）1357.305LS541551.20040%（标定）1551.206LS541244.800卸载至20%775.600.607LS541219.700卸载至20%（下午开始12：42）775.600.578LS541520.60040%（1551.2）1551.200.029LS542301.60060%（2326.8）2326.800.0110LS543186

12、.50080%（3102.4）3102.400.0311LS543204.40080%（3102.4）第二次3102.400.0312LS543670.10090%（3490.2）3490.200.0513LS543953.10095%（3684.1）3684.100.0714LS543992.50095%（3684.1）第二次3684.100.0815LS544139.400100%（3878）3878.000.0716LS544150.100100%（第二次）3878.000.0717LS543992.500回油至20%3878.000.0318LS543917.300回油至03878.0

13、00.01Thenumberofhiddenlayer:2Thenumberofneuronsforeachhiddenlayer:10and1Transferfunctions:purelinandpurelin;OtherconditionisthesameTheMatlabprocedureareasfollows:P=00.2430.2830.3270.3790.437;T=0775.6969.51163.41357.31551.2;net=newff(P,T,10fpurelinpurelin);net.trainparam.show=50;net.trainparam.epochs

14、=500;net.trainparam.goal=0.01;net=train(net,P,T);Y=sim(net,P);PP=0.3520.3450.4290.6470.8940.8991.0291.1081.1191.1601.1631.1191.098;YY=sim(net,PP);figureplot(P,T-o：P,Y-+：PP,YY,xlabel(lncrementinwavelength/nm)ylabel(Incrementincableforce/KN);PPYYoooooo505443NMEoa-qeou二uCDbumu-ooooo532ooo2o-5001111l00.

15、20.40.60.81Incrementinwavelength/nm张拉顺序号智能索索号索力（kN）油泵加载级别（油泵加载力.kN）理论值（kN）误差,x-X,|测|X真0LS540.00初始0.001LS54775.6020%（标定）775.602LS54969.5025%（标定）969.50标定值3LS541163.4030%（标定）1163.404LS541357.3035%（标定）1357.305LS541551.20040%（标定）1551.206LS541222.800卸载至20%775.600.587LS541198.100卸载至20%（下午开始12：42）775.600.54

16、8LS541494.70040%(1551.2)1551.200.049LS542264.60060%(2326.8)2326.800.0310LS543136.90080%(3102.4)3102.400.0111LS543154.60080%（3102.4）第二次3102.400.0212LS543613.70090%(3490.2)3490.200.0413LS543892.70095%(3684.1)3684.100.0614LS543931.50095%(3684.1)第二次3684.100.0715LS544076.300100%(3878)3878.000.0516LS54408

17、6.900100%（第二次）3878.000.0517LS543931.500回油至20%3878.000.0118LS543857.400回油至03878.000.01Thenumberofhiddenlayer:3Thenumberofneuronsforeachhiddenlayer:5,5and1Transferfunctions:purelinandpurelin;OtherconditionisthesameTheMatlabprocedureareasfollows:P=00.2430.2830.3270.3790.437;T=0775.6969.51163.41357.3155

18、1.2;net=newff(P,T,55,purelinpurelin);net.trainparam.show=50;net.trainparam.epochs=500;net.trainparam.goal=0.01;net=train(net,P,T);Y=sim(net,P);PP=0.3520.3450.4290.6470.8940.8991.0291.1081.1191.1601.1631.1191.098;YY=sim(net,PP);figureplot(P,T,-o,P,Y,-+,PP,YY,-*)xlabel(lncrementinwavelength/nm);ylabel

19、(lncrementincableforce/KN);PPYY40003500300025002000150000.20.40.60.8Incrementinwavelength/nm误差张拉顺序号智能索索号索力(kN)油泵加载级别(油泵加载力.kN)理论值(kN),x-X,|测|X真0LS540.00初始0.00标定值1LS54775.6020%（标定）775.602LS54969.5025%（标定）969.503LS541163.4030%（标定）1163.404LS541357.3035%（标定）1357.305LS541551.20040%（标定）1551.206LS541236.40

20、0卸载至20%775.600.597LS541213.600卸载至20%（下午开始12：42）775.600.568LS541487.00040%(1551.2)1551.200.049LS542196.70060%(2326.8)2326.800.0610LS543000.70080%(3102.4)3102.400.0311LS543017.00080%(3102.4)第二次3102.400.0312LS543440.20090%(3490.2)3490.200.0113LS543697.30095%(3684.1)3684.100.0014LS543733.10095%(3684.1)第

21、二次3684.100.0115LS543866.600100%(3878)3878.000.0016LS543876.400100%（第二次）3878.000.0017LS543733.100回油至20%3878.000.0418LS543664.800回油至03878.000.05误差对比表R|X真-X|x真张拉顺序号No.1No.2No.360.600.580.5970.570.540.5680.020.040.0490.010.030.06100.030.010.03110.030.020.03120.050.040.01130.070.060.00140.080.070.01150.0

22、70.050.00160.070.050.00170.030.010.04180.010.010.05Quation2:为了比较不同hiddenlayers,不同的neurons我们设置了以下3种情况HiddenlayersneuronsTransferfunctionNo1251PurelinpurelinNo4251TansigpurelinNo5251purelinandlogsig第一种情况见上述NO.1，No4：Thenumberofhiddenlayer:1Thenumberofneuronsforeachhiddenlayer:5Transferfunctions:tansiga

23、ndpurelin;TheMatlabprocedureareasfollows:P=00.2430.2830.3270.3790.437;T=0775.6969.51163.41357.31551.2;net=newff(P,T,5,tansigpurelin);net.trainparam.show=50;net.trainparam.epochs=500;net.trainparam.goal=0.01;net=train(net,P,T);Y=sim(net,P);PP=0.3520.3450.4290.6470.8940.8991.0291.1081.1191.1601.1631.1

24、191.098;YY=sim(net,PP);figureplot(P,T,-o,P,Y,-+,PP,YY,-*)xlabel(lncrementinwavelength/nm);ylabel(lncrementincableforce/KN);PPYY300025002000-5001111l00.20.40.60.81Incrementinwavelength/nm张拉顺序号智能索索号索力（kN）油泵加载级别（油泵加载力.kN）理论值（kN）相对误差.x-x,|测|x真0LS540.00初始0.00标定值1LS54775.6020%（标定）775.602LS54969.5025%（标定）9

25、69.503LS541163.4030%（标定）1163.404LS541357.3035%（标定）1357.305LS541551.20040%（标定）1551.206LS541305.700卸载至20%775.600.687LS541285.200卸载至20%（下午开始12：42）775.600.668LS541797.80040%（1551.2）1551.200.169LS542801.70060%（2326.8）2326.800.2010LS542801.70080%（3102.4）3102.400.1011LS542801.80080%（3102.4）第二次3102.400.1012

26、LS542801.80090%（3490.2）3490.200.2013LS542801.80095%（3684.1）3684.100.2414LS542801.80095%（3684.1）第二次3684.100.2415LS542801.800100%（3878）3878.000.2816LS542801.800100%（第二次）3878.000.2817LS542801.800回油至20%3878.000.2818LS542801.800回油至03878.000.28No.5Thenumberofhiddenlayer:1Thenumberofneuronsforeachhiddenlay

27、er:5Transferfunctions:purelinandlogsig;TheMatlabprocedureareasfollows:P=00.2430.2830.3270.3790.437;T=0775.6969.51163.41357.31551.2;net=newff(P,T,5,purelinlogsig);net.trainparam.show=50;net.trainparam.epochs=500;net.trainparam.goal=0.01;net=train(net,P,T);Y=sim(net,P);PP=0.3520.3450.4290.6470.8940.8991.0291.1081.1191.1601.1631.1191.098;YY=sim(net,PP);figureplot(P,T,-o,P,Y,-+,PP,YY,-*)xlabel(lncrementinwavelength/nm);ylabel(lncrementincableforce/KN);PPYY20000.20.40.60.81Inc