Assessment of steam turbine blade failure and damage mechanisms using a Bayesian network-Reference-Cited by-同舟云学术

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Assessment of steam turbine blade failure and damage mechanisms using a Bayesian network

Published:2021-03 Issue: Volume:207 Page:107329
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Quintanar-Gago David A.,Nelson Pamela F.,Díaz-Sánchez Ángeles,Boldrick Michael S.

Funder

Consejo Nacional de Ciencia y Tecnología

M.P. Council of Science and Technology

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference57 articles.

1. The fatigue of impellers and blades;Zhang;Eng Fail Anal,2016

2. A Brief Review on Failure of Turbine Blades;Bhagi,2013

3. State-of-the-Art Weld Repair Technology for Rotating Components;Gandy,1997

4. Turbine Steam Path Damage: Theory and Practice. Volume 1,1999

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1. Study of cracks in the last-stage rotor blade of a steam turbine and the corrosion fatigue properties of its materials;Heliyon;2024-09

2. Power generation forecasting for solar plants based on Dynamic Bayesian networks by fusing multi-source information;Renewable and Sustainable Energy Reviews;2024-09

3. Condition monitoring for nuclear turbines with improved dynamic partial least squares and local information increment;Engineering Applications of Artificial Intelligence;2024-02

4. Optimizing Crack Detection in Gas Turbine Blades Using Implanted Capsules of Ionizing Gas in Nonsteady Operation at Nonuniform Temperature;Russian Engineering Research;2023-11

5. Recent advances in uncertainty quantification in structural response characterization and system identification;Probabilistic Engineering Mechanics;2023-10

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