scholarly journals Reliability analysis and failure rate evaluation of load haul dump machines using Weibull distribution analysis

2018 ◽  
Vol 5 (2) ◽  
pp. 116-122 ◽  
Author(s):  
Raju Bala ◽  
R.M. Govinda ◽  
Ch.S.N. Murthy
Keyword(s):  
Weibull Distribution ◽  
Reliability Analysis ◽  
Failure Rate ◽  
Distribution Analysis ◽  
Rate Evaluation

Reliability Analysis and Prediction of Metro Vehicles’ Bogie Frame

2014 ◽  
Vol 590 ◽  
pp. 872-877 ◽  
Author(s):  
Yong Qin ◽  
Zhen Yu Zhang ◽  
Jing Xuan Shi
Keyword(s):  
Survival Analysis ◽  
Weibull Distribution ◽  
Reliability Analysis ◽  
Failure Rate ◽  
Life Time ◽  
Distribution Model ◽  
Life Distribution ◽  
Main Bearing ◽  
Bogie Frame ◽  
Time Problem

Frame is the main bearing component of bogie and the reliability of which directly affects the performance and safety of the locomotive. Survival analysis is used for reliability analysis of bogie frame to solve uncertain life time problem. It turns out that the best life distribution model is three-parameter Weibull distribution. A prediction model of failure rate composed of PSO-BP is came up with to predict the failure rate of bogie frame accurately.

Application of the mixed Weibull distribution in machine reliability analysis for a cell formation problem

2017 ◽  
Vol 34 (1) ◽  
pp. 128-142 ◽  
Author(s):  
Reza Ghavijorbozeh ◽  
Ali Zeinal Hamadani
Keyword(s):  
Weibull Distribution ◽  
Reliability Analysis ◽  
Failure Rate ◽  
Cell Formation ◽  
Past Research ◽  
Cell Formation Problem ◽  
Content Type ◽  
Model Based ◽  
Formation Problem ◽  
Mixed Distribution

Purpose The purpose of this paper is to understand the consequence of the use of mixed Weibull distribution in the cell formation problem. In reliability theory, a mixed distribution is used for more than one hazard cause, and the Weibull distribution can be used for ascendant, monotonous and descendant failure rate. Here, the authors mixed these two theme and use it in a common problem in group technology. Design/methodology/approach In this paper, the authors made a non-polynomial-hard mathematical model based on past research and solved it with an exact algorithm. The algorithm is coded and solved in GAMS to illustrate the model, and the authors use simulation. A common numerical example is solved with the model, and the results are compared. Findings Reliability analysis model based on the mixed Weibull distribution approach will give options to a user to select the suitable failure rate and modes for a specific situation. If the user uses the exponential or Weibull distribution instead of the mixed Weibull distribution, the calculated cost and reliability are wrong; therefore, it leads to user making wrong decisions. Originality/value The model the authors use is the one used in past research, but in the past, researchers did not use the mixed distribution for explaining failure time. Therefore, the model can be considered as a new and more complete model.

Reliability analysis for electronic devices using beta-Weibull distribution

2017 ◽  
Vol 33 (8) ◽  
pp. 2521-2530 ◽  
Author(s):  
Luis Carlos Méndez-González ◽  
Luis Alberto Rodríguez-Picón ◽  
Delia Julieta Valles-Rosales ◽  
Roberto Romero-López ◽  
Abel Eduardo Quezada-Carreón
Keyword(s):  
Weibull Distribution ◽  
Reliability Analysis ◽  
Electronic Devices ◽  
Beta Weibull Distribution
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