Optimized Modal Research for a Manipulator using Bayesian based Model Updating after Montecarlo-based Sensitivity Analysis

Bin Li, Xi-fan Yao, Shi-yong Chen

Abstract

A procedure to identify the dynamic behavior of a 6 degree of freedom (6-DOF) Manipulator based on modal data, has been developed in this paper. A finite element reference model with special emphasis on the modeling of the joints has been built. The most uncertain parameters of the models are updated by minimizing the discrepancies between the analytical and the experimental natural frequencies of the model. The updated models were tested using modal tests according to Monte-carlo based sensitivity analysis and Beyesian based model reduction.

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Paper Citation


in Harvard Style

Li B., Yao X. and Chen S. (2016). Optimized Modal Research for a Manipulator using Bayesian based Model Updating after Montecarlo-based Sensitivity Analysis . In ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME, ISBN 978-989-758-208-0, pages 257-262. DOI: 10.5220/0006448602570262


in Bibtex Style

@conference{isme16,
author={Bin Li and Xi-fan Yao and Shi-yong Chen},
title={Optimized Modal Research for a Manipulator using Bayesian based Model Updating after Montecarlo-based Sensitivity Analysis},
booktitle={ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,},
year={2016},
pages={257-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006448602570262},
isbn={978-989-758-208-0},
}


in EndNote Style

TY - CONF
JO - ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,
TI - Optimized Modal Research for a Manipulator using Bayesian based Model Updating after Montecarlo-based Sensitivity Analysis
SN - 978-989-758-208-0
AU - Li B.
AU - Yao X.
AU - Chen S.
PY - 2016
SP - 257
EP - 262
DO - 10.5220/0006448602570262