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

fYear

2013

fDate

20-22 Dec. 2013

Firstpage

3275

Lastpage

3278

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on

Conference_Location

Shengyang

Print_ISBN

978-1-4799-2564-3

Type

conf

DOI

10.1109/MEC.2013.6885582

Filename

6885582