Title :
Comprehensive performance analysis and evaluation of closed-chain mechanisms based on PCA
Author :
Sun Zhijuan ; Zhao Jing ; Li Liming
Author_Institution :
Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China
Abstract :
The key to improve the properties and intelligent controlling level of a machine is to optimize the mechanical properties of the major mechanisms, while the core problems are how to evaluate the mechanical properties reasonably and how to control the machine fine. Due to the complexity and diversity, the single performance indexes of closed-chain mechanism were analyzed based on principal component analysis (PCA) method. Then the comprehensive performance evaluation index of the mechanism was integrated. A comprehensive performance index of crank-rocker mechanism which was a kind of typical closed-chain mechanism was proposed, and evaluation method was studied. And scientific research basis for the mechanism synthesis and optimum order was provided by the principal component score.
Keywords :
closed loop systems; control system analysis; intelligent control; performance index; principal component analysis; PCA; closed-chain mechanism; comprehensive performance analysis; comprehensive performance evaluation index; crank-rocker mechanism; intelligent controlling level; machine control; mechanical properties; mechanism synthesis; optimum order; principal component analysis; Correlation; Couplings; Educational institutions; Indexes; Mechanical factors; Performance analysis; Principal component analysis; PCA; closed-chain mechanism; comprehensive performance evaluation; mechanical property; mechanism synthesis;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885582
