Reliability analysis for a Wiener degradation process model under changing failure thresholds

2018 ◽  
Vol 171 ◽  
pp. 1-8 ◽  
Author(s):  
Hongda Gao ◽  
Lirong Cui ◽  
Dejing Kong
Keyword(s):  
Reliability Analysis ◽  
Process Model ◽  
Degradation Process

Sample selection of prognostics validation test based on multi-stage Wiener process

2018 ◽  
Vol 233 (4) ◽  
pp. 605-614
Author(s):  
Zhiao Zhao ◽  
Yong Zhang ◽  
Guanjun Liu ◽  
Jing Qiu
Keyword(s):  
Wiener Process ◽  
Process Model ◽  
Failure Modes ◽  
Early Stage ◽  
Sample Selection ◽  
Degradation Process ◽  
Time Interval ◽  
Degradation Data ◽  
Multi Stage ◽  
Selection Of

Sample allocation and selection technology is of great significance in the test plan design of prognostics validation. Considering the existing researches, the importance of prognostics samples of different moments is not considered in the degradation process of a single failure. Normally, prognostics samples are generated under the same time interval mechanism. However, a prognostics system may have low prognostics accuracy because of the small quantity of failure degradation and measurement randomness in the early stage of a failure degradation process. Historical degradation data onto equipment failure modes are collected, and the degradation process model based on the multi-stage Wiener process is established. Based on the multi-stage Wiener process model, we choose four parameters to describe different degradation stages in a degradation process. According to four parameters, the sample selection weight of each degradation stage is calculated and the weight of each degradation stage is used to select prognostics samples. Taking a bearing wear fault of a helicopter transmission device as an example, its degradation process is established and sample selection weights are calculated. According to the sample selection weight of each degradation process, we accomplish the prognostics sample selection of the bearing wear fault. The results show that the prognostics sample selection method proposed in this article has good applicability.

Copula-based reliability analysis of gamma degradation process and Weibull failure time

2019 ◽  
Vol 36 (5) ◽  
pp. 654-668 ◽  
Author(s):  
Somayeh Mireh ◽  
Ahmad Khodadadi ◽  
Firoozeh Haghighi
Keyword(s):  
Reliability Analysis ◽  
Failure Time ◽  
Degradation Process ◽  
Copula Function ◽  
Closed Form Expression ◽  
Suggested Approach ◽  
Content Type ◽  
Dependency Structure ◽  
Testing Experiment ◽  
Hard Failure

Purpose The purpose of this paper is the reliability analysis for systems with dependent gamma degradation process and Weibull failure time. Design/methodology/approach Consider a life testing experiment in which a sample of n devices starts to operate at t=0 and the data are available on failure time and failure-evolving process on each individual, called in some contents wear or degradation. Ignoring the between performance characteristics dependency structure may lead us to different reliability estimations, while the dependency justly exists. In previous research, dependency between the degradation process and hard failure time has been studied in limited detail (special closed form expression). Thereafter, the dependency between two degradation processes with the same structure (gamma process) in a system is considered using the copula function. Findings The results indicate that ignoring the dependency structure may lead us to different reliability estimations while the dependency justly exists. Originality/value This study gives some contributions that evaluate reliability metrics with more than one failure mechanism that may not be independent and possibly follow a different distribution function. The authors have used the copula function as a basis to develop a proposal model and analysis methods. In addition, the authors discussed the identifiability of the copula. Finally, simulation data were used to review the suggested approach.

Reliability analysis of the cable system of drum shearer using the power law process model

2012 ◽  
Vol 26 (4) ◽  
pp. 309-323 ◽  
Author(s):  
Seyed Hadi Hoseinie ◽  
Mohammad Ataei ◽  
Reza Khalokakaie ◽  
Behzad Ghodrati ◽  
Uday Kumar
Keyword(s):  
Reliability Analysis ◽  
Power Law ◽  
Process Model ◽  
Cable System ◽  
Power Law Process ◽  
Drum Shearer

Two-Phase Degradation Process Model With Abrupt Jump at Change Point Governed by Wiener Process

2017 ◽  
Vol 66 (4) ◽  
pp. 1345-1360 ◽  
Author(s):  
Dejing Kong ◽  
Narayanaswamy Balakrishnan ◽  
Lirong Cui
Keyword(s):  
Wiener Process ◽  
Change Point ◽  
Process Model ◽  
Degradation Process ◽  
Two Phase ◽  
Abrupt Jump

scholarly journals Time-dependent Reliability Analysis of Timber-Concrete Composite Beams

2017 ◽  
Author(s):  
Nikola Velimirovic ◽  
Dragoslav Stojić ◽  
Miodrag Djordjević ◽  
Gordana Topličić-Ćurčić
Keyword(s):  
Reliability Analysis ◽  
Process Model ◽  
Composite System ◽  
Random Variable ◽  
Composite Beams ◽  
Time Dependent ◽  
Deterioration Rate ◽  
Time Period ◽  
Deterioration Process ◽  
Service Life Estimation

Timber-concrete composite system is increasing the use of timber in construction because some structures could not be built by timber alone, but it becomes possible with this composite system. The deterioration of structures in service is generally uncertain over time, therefore the appropriate approach for the structural analysis is a time-dependent reliability analysis that considers the randomness and uncertainties of deterioration process over a time period. This paper describes two methods for time dependent reliability analysis, random variable deterioration rate model and gamma process model, and compares the deterioration prediction as well as service life estimation of timber-concrete composite beams under normal use based on proposed models.

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