Digital twin model of gas turbine and its application in warning of performance fault-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Digital twin model of gas turbine and its application in warning of performance fault

Published:2023-03 Issue:3 Volume:36 Page:449-470
ISSN:1000-9361
Container-title:Chinese Journal of Aeronautics
language:en
Short-container-title:Chinese Journal of Aeronautics

Author:

HU Minghui,HE Ya,LIN Xinzhi,LU Ziyuan,JIANG Zhinong,MA Bo

Funder

National Postdoctoral Program for Innovative Talents

Beijing University of Chemical Technology

Publisher

Elsevier BV

Subject

Mechanical Engineering,Aerospace Engineering

Reference43 articles.

1. Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system;Hanachi;Chin J Aeronaut,2018

2. Machining process monitoring and application: a review;Sun;J Adv Manuf Sci Technol,2021

3. Industrial gas turbine performance: compressor fouling and on-line washing;Igie;J Turbomach,2014

4. Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: a review;Tahan;Appl Energy,2017

5. A combined technique of Kalman filter, artificial neural network and fuzzy logic for gas turbines and signal fault isolation;Togni;Chin J Aeronaut,2021

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Addressing class-imbalanced learning in real-time aero-engine gas-path fault diagnosis via feature filtering and mapping;Reliability Engineering & System Safety;2024-09

2. Application of a surrogate model for condition monitoring of a digital twin gas turbine;Applied Mathematical Modelling;2024-09

3. Digital-Triplet: a new three entities digital-twin paradigm for equipment fault diagnosis;Journal of Intelligent Manufacturing;2024-08-29

4. A Dataset and a Comparison of Classification Methods for Valve Plate Fault Prediction of Piston Pump;Applied Sciences;2024-08-15

5. A Review of Digital Twinning for Rotating Machinery;Sensors;2024-08-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3