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標(biāo)題 |
基于神經(jīng)網(wǎng)絡(luò)算法和附加質(zhì)量法的短吊桿張力識(shí)別(31 卷) |
英文標(biāo)題 |
The Tension Identification of Short Hangers Based on Neural Network Algorithm and Additional Mass Method |
摘要 |
根據(jù)質(zhì)量影響吊桿自振頻率的特性,用附加質(zhì)量法增加識(shí)別參數(shù),實(shí)現(xiàn)對(duì)短吊桿張力的識(shí)別。隨機(jī)生成吊桿的張力和彎曲剛度,并運(yùn)用有限元方法計(jì)算出對(duì)應(yīng)的附加質(zhì)量前后吊桿的自振頻率,構(gòu)成神經(jīng)網(wǎng)絡(luò)的教師數(shù)據(jù),訓(xùn)練神經(jīng)網(wǎng)絡(luò),擬合吊桿的自振頻率與彎曲剛度和張力之間的非線性關(guān) |
作者 |
新聞作者:謝旭,孫良鳳,王淵,李季隆 |
關(guān)鍵字 |