ࡱ > j l n g R w bjbjVV 8 r< r< " 8 t . p h h h h Z #. %. %. %. %. %. %. $ 1 ^4 L I. Q " " " I. h h 4 . \) \) \) " h h #. \) " #. \) \) + + h !k ' + . . 0 . + 4 ( Z 4 + + 4 , | " " \) " " " " " I. I. \) " " " . " " " " 4 " " " " " " " " " , J : WNMQuW O{l9eۏvB P ^y~Q~(Wň2uf5ugEeʋe-Nv^(u NgIQGShVj"8lbNgV:_s)Yzy ň2uuQ]zf[b c6R]z|SN 1 0 0 0 7 2 \O{N NgIQGS1 9 7 2 - 7uq\N[NNUxXoRYec;NNNň2uf5uP[5ul|~hKmNEeʋeeTvxvz0 "8lb1 9 6 4 - 7ulSPNNNZSXYec;NNNň2uf5ul|~hKmNEeʋeeTvxvz0 Xdň2uf N5ul|~5ugReY7hN[UFOTevQ YBgz^_NevcؚEeB\!kegYEesaNEeSVv f\sQ|fR YBg~TEeS O~vEeʋeel] NnvQEeʋevBl0[dkNWNMQuW O{lOSvB P ^y~Q~[5ugۏLEeʋev^(WMQuTW OǏz-NOYuNR~ gO0[sN^y~Q~6e[e^vcؚO(uM a t l a b zOS{lv^[bN5ugNwEevʋe0Ǐ[Nʋe!jWvQnx'`TS`'`:N5ul|~(uhKmYv^y~Q~ʋeel[scONt/ed0 sQ.͋5ug^y~Q~Eeʋe A p p l i c a t i o n o f B P n e u r a l n e t w o r k i m p r o v e d b y g e n e t i c i mmune algorithm in armored vehicle circuit board fault diagnosis Li Guangsheng ,Liang Jingcong, Xie Yongcheng, Li Guoqiang, Wang tianqi (Department of Control Engineering, Academy of Armored Forced Engineering, Beijing 100072,china) Abstract: In view of the armored vehicle circuit board size is bigger, function has become increasingly diverse and perfect at the same time, and the complexity is improved, fault levels become more complex, the relationship of the fault phenomenon and the cause of the problem becomes more complex, combination malfunction appears frequently, the traditional fault diagnosis methods can not meet the requirements of circuit board fault diagnosis. The thesis designs immune genetic algorithm to optimize the BP neural network fault diagnosis to circuit board, and retained part of the training optimal solution in the process of immune and genetic. The algorithm realize the improvement of the neural network convergence speed, using Matlab programming optimization algorithm and circuit board fault diagnosis simulation is completed. The accuracy and reliability of the diagnosis model is verified by experiment, and the neural network diagnosis method provides a theoretical support for the general testing equipment of electrical systems. Keyword: circuit board; neural network; fault diagnosis 0 _ 5ul|~\O:Nň2ufv͑~bR(WOf[b\ObNR-NS%c@w͑R0vQ-N5ug\O:N5ul|~v8h_~NYgSuEe|~\ N[svQv^R0Vdk5ugvEeʋe[NnxO|~[}Y'`CN~btefvbb/g'`w0R͑\O(u0 s6k[5ul|~5uggaS~vEeʋe:NVHQň2uf5ul|~v]\OsX N,5u|~fR YBg bvQ1YHevsXV }f:NY7h0vQ!k|~5ug~'YYpeEe:N!jb5uEeCQhVNǏvQ[]V1\ gS b5uvEeُyoEe~TǏUS NveQQSpeRg_$RevQEeSV[ 1 ] 0@wň2ufvSU\5ug~gfR YBgvQCQhVN^nfR'}[SKm~pv bfRVSOo`f\O_ O~N]hKmvel]~elns6k5ugEeʋev 0 ň2uf5ul|~5ugvEeʋe;N:N|~~ʋeǏKmϑv^oRvS$Re5ug/f&TY[be[R0S_5ugSuEee N,ۏLbcN~O\Ee5ugOt'Yb'YOSۏLg~Eeʋeُy~Ove_~bb,gؚ~OhTgeln5ul|~5ugSMOEeʋev Bl0[NOt:ggv5ug~ONXTǏKmϑ5uSpeۏLEe$Reُy O~vEeʋeelʋeHesNON:NV }[ʋeǏz bvq_T'Y0vQ-N5ul|~5ugEeʋeX[(Wv;N g 1 RsNO @w5ug YBgz^vXRCQhVNg@wf\f|[veTSU\OSKmpQ\MNONeQTϑvĉ!j01uNCQhVNv[]TsXjVXvr^pb(WpencǑƖǏz-N~8^_eQesQSϑMNONEeW[xQTN[|~I{ O~EeʋeelvʋeHes0 2 Oo`egn Nf RgEeSVe8^ۏLp5uSpevcSv^Џ(upef[elbN]~ۏL$Re_euN5ugO(uǏz-NsX^R[5ugNuvq_T0v^N[5ugO(u~bbbcNOte&^egv Nnx[V }Q\~5ugEeʋe&^egNYvr^pb0 3 OPy[]hQ$Re [NCQhVNSulxEe[vebwSNǏRg_0REeMOnoEe-NCQhVNv[]'Y\NSOPyϑKmϑv^NSNsX^RvsQYgelgfsX[vQ bvq_TEeyr_S NOhsQeg0 4 :\(uvct:g6R [Ns gvEe5uyr[vʋeelSN[sEevʋeS_5ug-NReQgNRbۏL9e eKNMRvʋeelSel[vQۏLʋebʋeHesNM0 1 [ONwRg NgWň2uf Nvmpkp|~c6Rv5ug:NOO(uM u l t i s i m 1 4 . 0 ۏLNw!jb0M u l t i s i m /fVV[NhVN I gPlQScQv5uW@xNw]wQ(uN!jb/ peW[5ugvNw[s0[S+TN5uVb_eQ0CQhVNSpeeQTTyEeSpe[v eQe_v^wQY0N[vNwRgR05ugvRNw5uYV1 @b:y0 V1 mpkp|~Nw5u S5u-Nv N*NP[Q~nP[Q~-NEe!j_:NUSEeǏKmϑp5uSve_ǑƖEeOo`EeOo`ǑƖ:SWYV2 @b:y0 V2 5uSOo`ǑƖ:SW \5u-NSX[(WvEe cgqh1 -Nvb__ۏLSv^\QsEee5ugp5uSSpeۏLKmϑv^U_Yh2 @b:y0 h1 EeleQSpen 5uEe Q 7 _ Q 7 e Q 6 _ Q 6 w R 9 _ R 9 w R 1 3 _ R 1 3 w Spen Q 7 K Q 7 D Q 6 K Q 6 D R 9 K R 9 D R 1 3 K R 1 3 D h2 Kmϑp5uSV p Ee a b c d e f g h i Q 7 K 2 4 . 1 1 4 . 1 0 . 2 6 2 4 . 0 2 4 . 0 1 5 . 3 1 4 . 6 4 . 9 9 4 . 9 9 Q 7 K 2 4 . 0 1 3 . 8 0 . 2 5 2 4 . 1 2 3 .715.014.85.005.00Q7D0.5714.10.2624.0015.314.64.994.99Q7D0.5413.80.2524.1015.014.85.005.00Q6K014.10.261.5424.015.314.64.994.99Q6K013.80.251.5423.715.014.85.005.00Q6D0.6712.00.261.450.1115.314.64.993.79Q6D0.6412.30.251.470.1015.014.85.003.82R9K0.530.260.630.670.1110.014.64.994.99R9K0.590.290.690.640.1010.114.85.005.00R9D0.7014.10.261.551.4711.11.603.799.71R9D0.7213.80.251.541.4511.31.603.799.95R 1 3 K 0 . 6 7 0 . 6 3 0 1 4 . 1 1 . 6 1 1 5 . 3 1 4 . 6 4 . 9 9 6 . 0 8 R 1 3 K 0 . 6 4 0 . 6 4 0 1 4 . 2 1 . 6 4 1 5 . 0 1 4 . 8 5 . 0 0 6 . 3 1 R 1 3 D 0 . 6 7 1 4 . 7 0 . 2 6 2 0 . 9 0 . 1 1 1 5 . 3 1 4 . 6 4 . 9 9 6 . 0 8 R 1 3 D 0 . 6 4 1 4 . 4 0 . 2 5 2 1 . 0 0 . 1 0 1 5 . 0 1 4 . 8 5 . 0 0 6 . 3 1 2 O~B P ^y~Q~ʋe[s B P ^y~Q~+T g N*NbY*NυB\/fvMR^(u g:N^lv^y~Q~0υB\^y~Q~wQ gf:_vЏ{RT㉳Q YBg^~'`vROvQ(W㉳Q[E]z-N~8^Qsv!j_Ƌ+R0Spe0OI{ g@w^8^͑v^(uvQwQ gv}YvlSR_NY(uN5ugEeʋe[ 2 ] 0FO/f O~B P ^y~Q~(W㉳Q5ugEeʋev-N_NX[(W@w NKNYvQ6e[e^Nʋe|^OS0Reg^y~Q~ʋe!jWv S0B\peNB\pevn0~7h,gv bI{vq_T [ 3 ] 0 (WM a t l a b -NO(u O~B P ^y~Q~[h2 vmpkp|~5ugEepencۏLʋe0\penc&^eQB P ^y~Q~~Ǐ1 5 !kЏ{TSsޏ~6 !kЏ{ N9eS]