Aircraft Engine Gas Path Fault Diagnosis Based on Neural Network-Reference-Cited by-同舟云学术

Aircraft Engine Gas Path Fault Diagnosis Based on Neural Network

Published:2011-12 Issue: Volume:148-149 Page:144-148
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Li Chang Zheng¹,Lei Yong¹

Affiliation:

1. Northwestern Polytechnical University

Abstract

The performance degeneration of components not only reduces the economy of aircraft engine, but also serious threat to the flight safety. Neural network with learning and reasoning abilities is widely used in fault diagnosis. In this paper, a neural network is established with improved BP method. 9 measured parameters of an aircraft engine are selected as features parameters. 21 kinds of gas path failure modes are coded with 5 bits. The data preprocessing methods and the effect of measurement noise are also discussed.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.148-149.144.pdf

Reference7 articles.

1. B. Zheng, and X. Y. Zhu, Investigation of Fault Diagnosis Technology for Aeroengine, Aeroenginem, 2010, Vol. 36, No. 2, pp.22-25.

2. Y. Hao, J. G. Sun, and J. Bai, State-of-the-art and Prospect of Aircraft Engine Fault Diagnosis Using Gas Path Parameters, J. of Aerospace Power, 2003, Vol. 18, No. 6, pp.753-760.

3. S. M. Lee, W. J. Choi, T. S. Roh, and et al, Defect Diagnostics of Gas Turbine Engine Using Hybrid SVM-Artificial Neural Network Method, 43rd AIAA/ASME/SAE/ASEE Joint Propulsion of Conference & Exhibit, 8-11 July 2007, Cincinnati, OH. and V. P. Veiko, Laser Assisted Microtechnology, 2nd ed., R. M. Osgood, Jr., Ed. Berlin, Germany: Springer-Verlag, (1998).

4. D. H. Seo, W. J. Choi, T. S. Roh, and et al, Defect Diagnostics of Gas Turbine Engine Using Hybrid SVM-ANN with Module System in Off-Design Condition, 44th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, 21-23 July 2008, Hartford, CT.

5. D. M. Zhu, Z. L. Zhu, and H. L. Tang, Design and Application of Engine Test Gas Path Fault Diagnosis System, J. of Aerospace Power, 2009, Vol. 24, No. 12, pp.2768-2772.

Cited by 1 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. Research on influence of wax deposition on flow state in coiled tubing with cable inside;AIP Conference Proceedings;2018