Data-driven method embedded physical knowledge for entire lifecycle degradation monitoring in aircraft engines-Reference-Cited by-同舟云学术

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Data-driven method embedded physical knowledge for entire lifecycle degradation monitoring in aircraft engines

Published:2024-07 Issue: Volume:247 Page:110100
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Xiao Dasheng,Lin Zhifu,Yu Aiyang,Tang Ke^ORCID,Xiao Hong^ORCID

Publisher

Elsevier BV

Reference50 articles.

1. Performance-based gas turbine health monitoring, diagnostics, and prognostics: A survey;Hanachi;IEEE Trans Reliab,2018

2. Diagnostics using a physics-based engine model in aero gas turbine engine verification tests;Kim;Aerosp Sci Technol,2023

3. Gas turbine tutorial-maintenance and operating practices effects on degradation and life;Kurz,2007

4. An architecture for on-line measurement of the tip clearance and time of arrival of a bladed disk of an aircraft engine;Gil-García;Sensors,2017

5. Review of damage mechanism and protection of aero-engine blades based on impact properties;Yang;Eng Fail Anal,2022

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