Title :
On-line identification of an electronic component placement process using a potential fuzzy clustering scheme
Author :
Sepasi, S. ; Sadrnia, M.A.
Author_Institution :
Dept. of Electron. & Robot. Eng., Shahrood Univ. of Technol., Tehran
Abstract :
This paper presents an evolutionary potential fuzzy clustering approach for on-line identification of an electronic component placement process in the pick-and-place machines. The main idea is to identify a global nonlinear fuzzy model of the component placement process. In the proposed approach, the fuzzy clustering method utilizes an on-line potential clustering scheme to form the antecedent part of fuzzy rule-based models using an evolving Takagi-Sugeno (eTS) structure adaptation algorithm. A new on-line approach is proposed to control the rate of rule creation mechanism. The effectiveness of the proposed approach is evaluated by comparing the achieved results with some well-known approaches.
Keywords :
evolutionary computation; fuzzy set theory; printed circuit manufacture; Takagi-Sugeno structure adaptation algorithm; electronic component placement process; fuzzy clustering; fuzzy rule-based model; pick-and-place machine; Bayesian methods; Clustering algorithms; Control systems; Electronic components; Fault detection; Magnetic heads; Nonlinear dynamical systems; Robots; Stability analysis; Throughput;
Conference_Titel :
Electrical Engineering, 2008. ICEE 2008. Second International Conference on
Conference_Location :
Lahore
Print_ISBN :
978-1-4244-2292-0
Electronic_ISBN :
978-1-4244-2293-7
DOI :
10.1109/ICEE.2008.4553932