Component reliability estimations without field data


Autoria(s): Chen, S. K.; Ho, Tin Kin; Mao, B. H.
Data(s)

2007

Resumo

Maintenance activities in a large-scale engineering system are usually scheduled according to the lifetimes of various components in order to ensure the overall reliability of the system. Lifetimes of components can be deduced by the corresponding probability distributions with parameters estimated from past failure data. While failure data of the components is not always readily available, the engineers have to be content with the primitive information from the manufacturers only, such as the mean and standard deviation of lifetime, to plan for the maintenance activities. In this paper, the moment-based piecewise polynomial model (MPPM) are proposed to estimate the parameters of the reliability probability distribution of the products when only the mean and standard deviation of the product lifetime are known. This method employs a group of polynomial functions to estimate the two parameters of the Weibull Distribution according to the mathematical relationship between the shape parameter of two-parameters Weibull Distribution and the ratio of mean and standard deviation. Tests are carried out to evaluate the validity and accuracy of the proposed methods with discussions on its suitability of applications. The proposed method is particularly useful for reliability-critical systems, such as railway and power systems, in which the maintenance activities are scheduled according to the expected lifetimes of the system components.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/38259/

Publicador

Hong Kong Institution of Engineers

Relação

http://eprints.qut.edu.au/38259/3/38259.pdf

http://www.hkie.org.hk/html/publications/transactions/html/2007/v14n3/v14n3con.htm

Chen, S. K., Ho, Tin Kin, & Mao, B. H. (2007) Component reliability estimations without field data. Hong Kong Institution of Engineers, Transactions, 14(3), pp. 10-17.

Direitos

Copyright 2007 Hong Kong Institution of Engineers

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #090505 Infrastructure Engineering and Asset Management #090507 Transport Engineering #090607 Power and Energy Systems Engineering (excl. Renewable Power) #Railway Engineering #Reliability analysis #Asset Management #Powe feeding system
Tipo

Journal Article