用距离矩阵的行和列识别运动链中的同构

Mohamed Aly Abdel Kader, A. Aannaque
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引用次数: 0

摘要

-一直需要开发简单,可靠和有效的方法来识别同构运动链(KCs)。在短时间内对大量的KCs进行歧视是一项复杂而艰巨的任务。大多数同构识别技术涉及复杂的概念和中间参数比较,特别是当条数增加时。该方法通过从距离矩阵的行和列生成不变量来识别KCs中的同构。用该方法对8-bar、10-bar、12-bar、13-bar、15-bar、28-bar三种复杂简单关节平面运动链以及10-bar、12-bar简单关节非平面运动链的分析结果与已有的结果基本一致。通过与已有研究成果的对比,验证了该方法的可靠性和有效性。
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Using Rows and Columns of Distance Matrix to Identify Isomorphisms in Kinematic Chains
—There has always been a need to develop simple, reliable, and efficient methods for identifying isomorphic kinematic chains (KCs). Discriminating against a large number of KCs in a short period of time is a complex and difficult task at the moment. Most isomorphism identification techniques involve complex concepts and intermediate parameter comparisons, especially as the number of bars increases. The proposed method identifies isomorphism in KCs by generating an invariant from the rows and columns of the distance matrix. All of the results obtained using this method on 8-bar, 10-bar, and 12-bar, three complex 13-bar, 15-bar, and 28-bar simple joint planar kinematic chains, as well as 10-bar and 12-bar simple joint non-planar kinematic chains, agree with the published results. The method's reliability and efficiency are confirmed when the results are compared to previously published works.
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
25
期刊介绍: International Journal of Mechanical Engineering and Robotics Research. IJMERR is a scholarly peer-reviewed international scientific journal published bimonthly, focusing on theories, systems, methods, algorithms and applications in mechanical engineering and robotics. It provides a high profile, leading edge forum for academic researchers, industrial professionals, engineers, consultants, managers, educators and policy makers working in the field to contribute and disseminate innovative new work on Mechanical Engineering and Robotics Research.
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