@inproceedings{1a97b1017c5b4b6dac338e9241fa5c62,
title = "Application research of the algorithm which supports vector machine in the simulation system of mechanism reliability",
abstract = "The complexity of the mechanism brings great difficulty to the calculation of the mechanism motion reliability, and the computer simulation algorithm based on Monte Carlo method needs a great number of simulation. The further-development of LMS Virtual.Lab was carried out, and the least square support vector machine algorithm was used to construct the response surface proxy model. The PSO-GA algorithm is used to optimize the parameters and make the least square support vector machine own a better performance. For the coupling of multiple failure modes, the multiple response surfaces are combined to obtain the reliability of the system. The reliability calculation based on support vector machine algorithm is carried out for the crank slider mechanism and the cam swing bar mechanism, and the feasibility and efficiency of the method are verified by the Monte Carlo method.",
keywords = "Reliability, Response surface models, Simulation, Vector machine",
author = "Tong Zhang and Sen Li and Qiao, \{Jia Dong\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 3rd IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2017 ; Conference date: 03-10-2017 Through 05-10-2017",
year = "2017",
month = nov,
day = "27",
doi = "10.1109/ITOEC.2017.8122393",
language = "English",
series = "Proceedings of 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference, ITOEC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "115--121",
editor = "Bing Xu",
booktitle = "Proceedings of 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference, ITOEC 2017",
address = "United States",
}