The simulation and dynamic reliability estimation of multiple-crack system

Author(s):  
Shan Jiang ◽  
Yan-Fu Li
2015 ◽  
Vol 799-800 ◽  
pp. 1295-1298
Author(s):  
Li Qin ◽  
Wei Lin Peng ◽  
Wei Han

As transmission tower system has the characteristics of large-span and spatial truss structure, the study of the reliability is also developed on the basis of space truss research and large-span structure system. As simple and suitable, RSM (response surface method), in particular, quadratic response surface without considering the cross term is often used in reliability calculation. However, strong nonlinear limit that corresponding to a complex surface, the accuracy of quadratic response surface is inadequate, causing greater reliability estimation error. High-order response surface solves it well. To this end, based on univariate analysis of multivariate function, a reasonable algorithm as to assure that the form of higher-order response surface is proposed; on the algorithm is verified by given examples, the result shows better accuracy and efficiency .


2008 ◽  
Vol 4 (1) ◽  
pp. 353-361
Author(s):  
Zaitseva Elena ◽  
Levashenko Vitaly ◽  
Matiaško Karol

Decomposition and Estimation of Multi-State Systems by Dynamic Reliability IndicesSome typical configurations of Multi-State System and their mathematical descriptions are considered in paper with relation to Reliability Analysis. Multiple-Valued Logic is applied for these descriptions synthesis and Dynamic Reliability Indices are used for Multi-State System reliability estimation. We concentrate on series and parallel systems, because these structures are basic for most of the technical system. We get measures of reliability for the failure and restoration of this system.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Kui Wang ◽  
Lili Ding

In practices, most industrial products are subject to sudden failure and only failure information can be collected, which presents a great challenge for reliability prediction of modern devices. To address this issue, our paper proposes a dynamic reliability estimation and control for industrial products under regular failure trials. The failure trial is performed at different operational time points of the products, which provides sole data source for evaluating the status of industrial products. We use Bayesian approach to dynamically estimate the industrial products when the failure trial is available. The estimated reliability is updated using a point estimate with new available data. To maintain the reliability of products at a desirable status, a reliability control method is presented to monitor the confidence interval of reliability distribution. The lower limit of confidence interval is maintained above a control limit, which indicates that a corresponding quality-assurance action is preferable. The proposed reliability estimation and control approach is demonstrated using a case of light-emitting diodes under failure trials at production process. The obtained results indicate the effectiveness of our estimation and control model.


2011 ◽  
Vol E94-C (9) ◽  
pp. 1375-1380
Author(s):  
Xuerong YE ◽  
Jie DENG ◽  
Qiong YU ◽  
Guofu ZHAI

Author(s):  
A. K. VERMA ◽  
A. SRIVIDYA ◽  
RAJESH PRABHU GAONKAR

This paper presents the dynamic reliability evaluation of the deteriorating system using the concept of probist reliability as a fuzzy number. Triangular fuzzy number (TFN) has been used to represent the reliabilities. Initial reliability is determined using the expert's judgment and probabilistic improvement factor is considered to indicate the maintenance effectiveness of 1P maintenance activity. Deteriorating system is represented by PAR model and fuzzy dynamic reliability estimation procedure is demonstrated with appropriate illustration. Using this fuzzy dynamic reliability, fuzzy hazard rate is computed.


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