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Abstract:
以挖掘机动臂为研究对象,通过模态分析得到动臂各阶固有频率及振型特性,确定影响挖掘机动臂动态特性的关键固有频率.将关键固有频率作为神经网络预测目标,通过拉丁超立方抽样获取动臂固有频率神经网络训练样本,建立动臂神经网络预测模型,为液压挖掘机动臂的优化设计提供了依据.
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Source :
机械制造与自动化
ISSN: 1671-5276
CN: 32-1643/TH
Year: 2019
Issue: 4
Page: 100-102,115
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count: -1
Chinese Cited Count:
30 Days PV: 1
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