Branching Poisson Process Modelling for Reliability Analysis of Repairable Mechanical System

2019 ◽  
Author(s):  
Nicolas Roche-Carrier ◽  
Guyh Ngoma ◽  
Yasar Kocaefe ◽  
Fouad Erchiqui
Keyword(s):  
Poisson Process ◽  
Mechanical System ◽  
Reliability Analysis ◽  
Process Modelling

Dynamic reliability analysis of mechanical system with wear and vibration failure modes

2021 ◽  
Vol 163 ◽  
pp. 104385
Author(s):  
We Wang ◽  
Gang Shen ◽  
Yimin Zhang ◽  
Zhencai Zhu ◽  
Changyou Li ◽  
...  
Keyword(s):  
Mechanical System ◽  
Reliability Analysis ◽  
Failure Modes ◽  
Dynamic Reliability

scholarly journals Mechanical system reliability analysis using reliability matrix method

2018 ◽  
Vol 365 ◽  
pp. 042067 ◽  
Author(s):  
Olga Burukhina ◽  
Anna Bushinskaya ◽  
Irina Maltceva ◽  
Svyatoslav Timashev
Keyword(s):  
Mechanical System ◽  
Reliability Analysis ◽  
System Reliability ◽  
Matrix Method ◽  
System Reliability Analysis

Reliability Analysis of Corroding Pipelines Considering the Growth and Generation of Corrosion Defects

2014 ◽  
Author(s):  
H. Qin ◽  
W. Zhou
Keyword(s):  
Poisson Process ◽  
Reliability Analysis ◽  
Measurement Errors ◽  
Gamma Process ◽  
Homogeneous Poisson Process ◽  
Monte Carlo Simulation Technique ◽  
Natural Gas Pipeline ◽  
Corrosion Defects ◽  
Inspection Data ◽  
Non Homogeneous Poisson Process

This paper presents a methodology to evaluate the reliability of corroding pipelines by simultaneously considering the growth and generation of corrosion defects. The non-homogeneous Poisson process is employed to model the generation of corrosion defects, whereas the non-homogeneous gamma process is used to characterize the growth of corrosion defects once generated. The parameters included in the non-homogeneous Poisson process and non-homogeneous gamma process are evaluated from the inline inspection data using a hierarchical Bayesian model. The measurement errors associated with the inline inspection tools are taken into account in the Bayesian updating. The time-dependent failure probability of the corroding pipeline is evaluated using the Monte Carlo simulation technique. The methodology is illustrated using a natural gas pipeline that has been subjected to multiple inline inspections over a period of time. The results illustrate the necessity to incorporate the generation of new corrosion defects in the reliability analysis of corroding pipelines.

An application of compound Poisson modelling to biological dosimetry

2010 ◽  
Vol 467 (2127) ◽  
pp. 897-910 ◽  
Author(s):  
Pedro Puig ◽  
Joan Francesc Barquinero
Keyword(s):  
Poisson Process ◽  
Regression Models ◽  
Compound Poisson Process ◽  
Process Modelling ◽  
Compound Poisson ◽  
Biological Dosimetry ◽  
Poisson Modelling

In this paper, the r th-order univariate Hermite distributions are proposed to model the number of dicentrics in biological dosimetry. These families of distributions are introduced from compound Poisson process modelling. Regression models appropriate for analysing the number of dicentrics as a function of doses of radiation are presented, and an example of application is also given.

Extended Poisson Process Modelling and Analysis of Count Data

1997 ◽  
Vol 39 (4) ◽  
pp. 431-440 ◽  
Author(s):  
M. J. Faddy
Keyword(s):  
Poisson Process ◽  
Count Data ◽  
Process Modelling
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