Importance Measure for K-out-of-n: G Systems under Dynamic Random Load Considering Strength Degradation

Author(s):  
Dong Lyu ◽  
Shubin Si
Author(s):  
Peng Gao ◽  
Liyang Xie

Conventional reliability analysis of load-sharing parallel systems is mainly based on failure rate of components, in which failure dependence of components and load redistribution are also characterized by specified failure rates. However, the failure rate of mechanical components always varies with time, which is difficult to measure. Therefore, in this paper, quantitative dynamic reliability models of mechanical load-sharing parallel systems are developed in terms of stress parameters and strength parameters rather than failure rate of components, which consider the degradation mechanism of mechanical components. The proposed models take into account the strength degradation path dependence (SDPD) of a component, the strength degradation process dependence between different components in a system, and the random load redistribution. In addition, Monte Carlo simulation is carried out to verify the proposed models. The results show that SDPD and the load-sharing effect have considerable influences on dynamic reliability of mechanical load-sharing parallel systems.


Author(s):  
LIYANG XIE ◽  
ZHENG WANG

The variation of failure rate is interpreted in terms of the interaction mechanism between load and strength (product property). It is highlighted that the variation of product failure rate with service time is controlled by two types of failure rate variation trends. One is the decreasing trend dominated by load statistical characteristic, the other is the increasing trend dominated by strength degradation. Under the action of a stationary random load process, the statistical characteristics of load peaks leads to product failure rate decreasing with service time, provided that the product property does not degrade. The reason is simply that, a product will not fail to a impact of load not higher than those to which the product has successfully resisted, while the possibility that a higher impact (higher than all the preceding ones) appears in a unit time interval will decrease with the increase of operation experience. On the other hand, load history dependent product property deterioration leads to failure rate increasing continuously. From the viewpoint that failure is the reflection of load-strength interaction, this paper derives failure rate model for product subjected to random load sequence. As the foundation, discrete time parameter, i.e. number of load actions is used, "discrete failure rate" is defined, and it is clarified that the discrete failure rate at the nth load action is equivalent to the failure probability caused by the (n + 1)th load action, given that the product has survived to the foregoing n times of load actions. Based on the failure rate model, the effects of load uncertainty, component strength uncertainty, and strength degradation as well on failure rate are discussed.


2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
Peng Gao ◽  
Liyang Xie

The reliability models of the components under the nonstationary random load are developed in this paper. Through the definition of the distribution of the random load, it can be seen that the conventional load-strength interference model is suitable for the calculation of the static reliability of the components, which does not reflect the dynamic change in the reliability and cannot be used to evaluate the dynamic reliability. Therefore, by developing an approach to converting the nonstationary random load into the random load whose pdf is the same at each moment when the random load applies, the reliability model based on the longitudinal distribution is derived. Moreover, through the definition of the transverse standard load and the transverse standard load coefficient, the reliability model based on the transverse distribution is derived. When the occurrence of the random load follows the Poisson process, the dynamic reliability models considering the strength degradation are derived. These models take the correlation between the random load and the strength into consideration. The result shows that the dispersion of the initial strength and that of the transverse standard load coefficient have great influences on the reliability and the hazard rate of the components.


2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Peng Gao ◽  
Liyang Xie

Time-dependent statistical characteristics of load process and strength degradation process are critical to lifetime distribution of series mechanical systems. Conventional rain-flow counting method for lifetime distribution estimation has limited practical application due to its strict requirement for statistical properties of load process. Besides, dynamic interaction between load process and strength degradation process results in strength degradation path dependence (SDPD). SDPD and failure dependence of components jointly bring considerable difficulties in prediction of system lifetime distribution and system residual lifetime distribution. To address these problems, reliability-based analytic models for estimation of whole lifetime distribution and residual lifetime distribution of series mechanical systems under random load are developed in this paper, which take the time-dependent statistical parameters of load process and strength degradation process as the input of the models. Furthermore, SDPD and failure dependence of components are taken into account in the proposed models in an explicit mathematical expression. The results show that SDPD, failure dependence of components, and initial strength dispersion have significant influences on system lifetime distribution.


2002 ◽  
Vol 82 (16) ◽  
pp. 3027-3043 ◽  
Author(s):  
Shuqi Guo ◽  
Naoto Hirosaki ◽  
Toshiyuki Nishimura ◽  
Yoshinobu Yammoto ◽  
Mamoru Mitomo

2012 ◽  
Vol 2 (1) ◽  
pp. 30-41
Author(s):  
J. M.R.S. Appuhamy ◽  
M. Ohga ◽  
T. Kaita ◽  
P. Chun ◽  
P. B.R. Dissanayake

1996 ◽  
Vol 32 (8) ◽  
pp. 761 ◽  
Author(s):  
C.R. Kurkjian ◽  
M.J. Matthewson

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