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International Journal of Turbo & Jet-Engines

Editor-in-Chief: Gal-Or, Benjamin

Ed. by Sherbaum, Valery / Erenburg, Vladimir

4 Issues per year


IMPACT FACTOR 2017: 0.425

CiteScore 2017: 0.52

SCImago Journal Rank (SJR) 2017: 0.175
Source Normalized Impact per Paper (SNIP) 2017: 0.567

Online
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2191-0332
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Volume 31, Issue 2

Issues

Fatigue Lifetime Assessment of Aircraft Engine Disc via Multi-source Information Fusion

Hong-Zhong Huang
  • Corresponding author
  • School of Mechanical, Electronic, and Industrial Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
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  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Ping-Liang Cui
  • School of Mechanical, Electronic, and Industrial Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Weiwen Peng
  • School of Mechanical, Electronic, and Industrial Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Hui-Ying Gao
  • School of Mechanical, Electronic, and Industrial Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
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  • De Gruyter OnlineGoogle Scholar
/ Hai-Kun Wang
  • School of Mechanical, Electronic, and Industrial Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
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  • De Gruyter OnlineGoogle Scholar
Published Online: 2014-01-25 | DOI: https://doi.org/10.1515/tjj-2013-0043

Abstract

Fatigue lifetime assessment for aircraft engine discs is an important issue for the operation and health management of aircraft engines. Due to the lack of field test data, traditional methods can hardly meet the requirements of fatigue lifetime assessment of aircraft engine discs. By combining a multi-source information fusion method with a Bayesian inference technique, this paper develops a practical approach for fatigue lifetime assessment of aircraft engine discs. Subjective information and historical data are combined coherently with the sparse test data to generate a credible fatigue lifetime assessment of aircraft engine discs. Methods for quantifying subjective information, checking different experts' information, and fusing multiple prior distributions are presented to facilitate the implementation of fatigue lifetime assessment. An illustrative example is presented to demonstrate the procedures and the implication of the proposed method.

Keywords: fatigue lifetime assessment; aircraft engine disc; Bayesian inference; multi-source information fusion

About the article

Received: 2013-11-25

Accepted: 2013-12-02

Published Online: 2014-01-25

Published in Print: 2014-06-01


Citation Information: International Journal of Turbo & Jet-Engines, Volume 31, Issue 2, Pages 167–174, ISSN (Online) 2191-0332, ISSN (Print) 0334-0082, DOI: https://doi.org/10.1515/tjj-2013-0043.

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