传感器与微系统
傳感器與微繫統
전감기여미계통
TRANSDUCER AND MICROSYSTEM TECHNOLOGY
2015年
8期
152-155
,共4页
涂胶机构%传感器优化布置%猴群算法%正态分布%爬步长
塗膠機構%傳感器優化佈置%猴群算法%正態分佈%爬步長
도효궤구%전감기우화포치%후군산법%정태분포%파보장
gelatinize agency%optimal placement of sensor%monkeys algorithm( MA )%normal distribution%climbing step
针对纸纱复合袋糊底机涂胶机构健康状况检测中的传感器优化布置问题，提出了一种改进的猴群算法（ MA）。该算法以模态置信度（ MAC）矩阵作为目标函数，通过正态分布方法构造初始种群来增强猴群的多样性；采用自适应的变动爬步长，提高了算法运行的速度和求解精度。以涂胶机构有限元模态分析结果为依据，对涂胶机构进行传感器优化布置，结果表明：改进的MA可以解决涂胶机构传感器优化布置问题，比简易猴群算法（ SMA）寻优能力强、收敛精度高。
針對紙紗複閤袋糊底機塗膠機構健康狀況檢測中的傳感器優化佈置問題，提齣瞭一種改進的猴群算法（ MA）。該算法以模態置信度（ MAC）矩陣作為目標函數，通過正態分佈方法構造初始種群來增彊猴群的多樣性；採用自適應的變動爬步長，提高瞭算法運行的速度和求解精度。以塗膠機構有限元模態分析結果為依據，對塗膠機構進行傳感器優化佈置，結果錶明：改進的MA可以解決塗膠機構傳感器優化佈置問題，比簡易猴群算法（ SMA）尋優能力彊、收斂精度高。
침대지사복합대호저궤도효궤구건강상황검측중적전감기우화포치문제，제출료일충개진적후군산법（ MA）。해산법이모태치신도（ MAC）구진작위목표함수，통과정태분포방법구조초시충군래증강후군적다양성；채용자괄응적변동파보장，제고료산법운행적속도화구해정도。이도효궤구유한원모태분석결과위의거，대도효궤구진행전감기우화포치，결과표명：개진적MA가이해결도효궤구전감기우화포치문제，비간역후군산법（ SMA）심우능력강、수렴정도고。
Aiming at problems of optimal placement of sensor of gelatinize agency belongs to paper and yarn compounded bag bottom-pasting machine for health inspection,an improved monkeys algorithm( MA)is proposed. Modal assurance criterion( MAC)matrix is used as objective function,enhance the diversity of monkeys by using normal distribution methods to construct initial population;adaptive changeable climbing step is used to improve running speed and solving presition of the algorithm. Carry out optimal placement of sensor based on results of analysis on gelatinize agency finite element modal,the results verify that the improved algorithm can solve the problem and has better searching capability and high convergence presition compared with simple monkey algorithm( SMA).
