On reliability challenges of repairable systems using hierarchical bayesian inference and maximum likelihood estimation-Reference-Cited by-同舟云学术

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On reliability challenges of repairable systems using hierarchical bayesian inference and maximum likelihood estimation

Published:2020-03 Issue: Volume:135 Page:157-165
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

BahooToroody Ahmad,Abaei Mohammad Mahdi,Arzaghi Ehsan,Song Guozheng,De Carlo Filippo,Paltrinieri Nicola,Abbassi Rouzbeh

Funder

Università degli Studi di Firenze

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference50 articles.

1. A novel approach to safety analysis of floating structures experiencing storm;Abaei;Ocean. Eng.,2018

2. Dynamic reliability assessment of ship grounding using Bayesian Inference;Abaei;Ocean. Eng.,2018

3. Statistical analysis of data on failures of the nuclear plant equipment in conditions of a non-homogeneous flow of events. Part 2;Antonov;Nucl. Energy Technol.,2017

4. A hierarchical Bayesian approach to modelling fate and transport of oil released from subsea pipelines;Arzaghi;Process. Saf. Environ. Prot.,2018

5. Risk-based maintenance planning of subsea pipelines through fatigue crack growth monitoring;Arzaghi;Eng. Fail. Anal.,2017

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