机械设计与制造工程
機械設計與製造工程
궤계설계여제조공정
MACHINE DESIGN AND MANUFACTURING ENGINEERING
2013年
10期
57-60
,共4页
涂装线%智能预警%改进BP算法%烘房燃烧系统
塗裝線%智能預警%改進BP算法%烘房燃燒繫統
도장선%지능예경%개진BP산법%홍방연소계통
Coating Line%Intelligent Warning%Improved BP Algorithm%Drying Room Combustion System
针对汽车涂装线中烘房系统能耗大、参数组合复杂、耦合性强等特点造成的控制困难、精度低等问题,提出了基于改进BP算法的智能预警方法,建立了对应的神经网络模型,通过对烘房实例的仿真分析,证实了该方法具有正确率高以及控制容易等优点。
針對汽車塗裝線中烘房繫統能耗大、參數組閤複雜、耦閤性彊等特點造成的控製睏難、精度低等問題,提齣瞭基于改進BP算法的智能預警方法,建立瞭對應的神經網絡模型,通過對烘房實例的倣真分析,證實瞭該方法具有正確率高以及控製容易等優點。
침대기차도장선중홍방계통능모대、삼수조합복잡、우합성강등특점조성적공제곤난、정도저등문제,제출료기우개진BP산법적지능예경방법,건립료대응적신경망락모형,통과대홍방실례적방진분석,증실료해방법구유정학솔고이급공제용역등우점。
The characteristics of the drying room for automobile body coating line are higher energy consumption , parametric complexity , strong coupling .It is difficult and low accurate for this drying system control .In order to solve these problems , it presents the improved BP algorithm .It establishes a corresponding neural network mod-el.The simulation analysis of oven instance shows that the method has the advantages of higher correct rate and easy to be controlled .