Non-probabilistic Mechanism Reliability Analysis with Interval Dimension and Clearance Variables

DOI

10.2991/aiie-15.2015.112How to use a DOI?

Keywords

reliability; Non-probabilistic; tolerance; joint clearance

Abstract

In traditional mechanism reliability analysis, dimension and clearance variables are typically assumed to be random variables with a given distribution. This treatment may lead to large errors when statistic information of uncertainties are not precisely known. This work intends to remedy this problem. A non-probabilistic reliability model, which based on the interval set, is introduced to measure the reliability of mechanism. The n-dimensional case of the reliability measure is defined as the ratio of the hypervolume of the safe region to the whole hypervolume of variation of uncertain variables. Only the tolerance bounds of dimension variables and radius of joint clearances are required in this approach. The proposed method is applied to reliability analysis of a four-bar mechanism. In the absence of enough information on uncertainty, the presented non-probabilistic theory may give a feasible assessment of the mechanism reliability.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - P.A. Huang
AU  - R. Huang
AU  - Z.P. Qiu
AU  - X.J. Wang
PY  - 2015/07
DA  - 2015/07
TI  - Non-probabilistic Mechanism Reliability Analysis with Interval Dimension and Clearance Variables
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 411
EP  - 414
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.112
DO  - 10.2991/aiie-15.2015.112
ID  - Huang2015/07
ER  -