TY - GEN
T1 - Fuzzy time-dependent reliability modeling and analysis method for mechanisms based on strength degradation
AU - Gao, Zhenbang
AU - Zhang, Jianguo
AU - Peng, Wensheng
AU - Kan, Linjie
AU - Wang, Pidong
PY - 2014
Y1 - 2014
N2 - Mechanism reliability includes structural reliability of mechanism components and kinematic reliability of the mechanism. In fact, in practice mechanism reliability usually considers only kinematic reliability of the mechanism. Strength degradation including fatigue, wear, corrosion, and motion error, etc., are major failure mechanism of systems, sub-systems or components. In this paper, it is based on mechanism synthesis. In addition, the paper considers time dependence of strength degradation and fuzziness of the state in mechanism reliability analysis. Strength degradation mainly includes motion error and wear. Fuzzy time-dependent mathematical model of reliability is established based on fuzzy time-dependent methods, such as PHI2\MCS, and combined with traditional mechanical reliability analysis methods, such as FORM\SORM. The paper considers fuzziness of the state at the same time. Thus, fuzzy time-dependent failure probability is able to compute. Two examples demonstrate the practicality and feasibility of the method.
AB - Mechanism reliability includes structural reliability of mechanism components and kinematic reliability of the mechanism. In fact, in practice mechanism reliability usually considers only kinematic reliability of the mechanism. Strength degradation including fatigue, wear, corrosion, and motion error, etc., are major failure mechanism of systems, sub-systems or components. In this paper, it is based on mechanism synthesis. In addition, the paper considers time dependence of strength degradation and fuzziness of the state in mechanism reliability analysis. Strength degradation mainly includes motion error and wear. Fuzzy time-dependent mathematical model of reliability is established based on fuzzy time-dependent methods, such as PHI2\MCS, and combined with traditional mechanical reliability analysis methods, such as FORM\SORM. The paper considers fuzziness of the state at the same time. Thus, fuzzy time-dependent failure probability is able to compute. Two examples demonstrate the practicality and feasibility of the method.
KW - PHI2
KW - fuzzy time-dependent
KW - mechanism motion error
KW - mechanism reliability
KW - strength degradation
UR - https://www.scopus.com/pages/publications/84899997663
U2 - 10.1109/RAMS.2014.6798441
DO - 10.1109/RAMS.2014.6798441
M3 - 会议稿件
AN - SCOPUS:84899997663
SN - 9781479928477
T3 - Proceedings - Annual Reliability and Maintainability Symposium
BT - RAMS 2014 - Proceedings 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 60th Annual Reliability and Maintainability Symposium, RAMS 2014
Y2 - 27 January 2014 through 30 January 2014
ER -