Research on Fault Diagnosis System for Aircraft Hydraulic Power Carts Based on Fuzzy Diagnosis Theory

Wei Qiang Zhao; Yong Xian Liu; Mo Wu Lu

doi:10.4028/www.scientific.net/AMM.220-223.607

Paper Titles

Experimental Study on Characteristics of False Defrosting for Split Air Source Heat Pump
p.585

Study on the Influence of Meridional Channel to Centrifugal Compressor Performance
p.592

Study on Vehicle Stability Based on Coordinated Control of Direct Yaw Moment Control and Slip Rate Control
p.597

Integrated Dynamic Characteristics and Application in Semi-Active Dynamic Absorber of Magneto-Rheological Fluids
p.601

Research on Fault Diagnosis System for Aircraft Hydraulic Power Carts Based on Fuzzy Diagnosis Theory
p.607

Experimental Study on Journal Gas Bearing with Axial Slot for a Miniature Air Turboexpander
p.611

Study on Adaptive Dual-Voltage Method to Improve the Control Performance of High-Speed Solenoid Valve
p.615

Application Study of Load Forecasting of Central Air-Conditioning System Based on Time Sequence Analysis Method
p.622

Research of Product Family Design Techniques of one Workpiece Testing Equipment
p.626

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Research on Fault Diagnosis System for Aircraft...

Research on Fault Diagnosis System for Aircraft Hydraulic Power Carts Based on Fuzzy Diagnosis Theory

Abstract:

Aircraft hydraulic power carts are important aviation support equipment. Because of their complex structure they have high failure rate. Therefore fault diagnosis system for hydraulic power carts is necessary to ensure high reliability and maintainability for hydraulic power carts. This paper presents a diagnosis method based on fuzzy diagnosis theory in the developing process of a new type of hydraulic power carts. The fault Symptom, critical value and fault causes are established based on the research of fault mode for hydraulic power carts. And also the mathematical model of fault diagnosis for hydraulic power carts is established based on fuzzy diagnosis theory. The practical test results and fault diagnosis instances show that with this fault diagnosis system fast fault diagnosis for hydraulic power carts was carried out successfully.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

607-610

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.607

Citation:

Cite this paper

Online since:

November 2012

Authors:

Wei Qiang Zhao*, Yong Xian Liu, Mo Wu Lu

Keywords:

Aircraft Hydraulic Power Cart, Fault Diagnosis, Fuzzy Diagnosis

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Zhang Huai-bin. Construction of Fault Diagnosis Expert System for Hydraulic Power Carts of Aircraft Using Fuzzy Theroy[J]. Journal of Liaoning University. 2010 Vol 37:359-362.

Google Scholar

[2] Reznik L, Jacques R. Fuzzy Expert System Shell Development with Computer Security Assessment Application[C]//Proc of IEEE. International Fuzzy System Conference London, UK: [s n], 2007:261-267.

DOI: 10.1109/fuzzy.2007.4295374

Google Scholar

[3] Wang Shao-ping, Yuan Zhong-kui, Yang Guang-qin. Study on fault diagnosis of data fusion in hydraulic pump[J]. China Mechanical Engineering. 2005,16(4):327-331.

Google Scholar

[4] Zhang Wen-xiu, Wu Wei-zhi. Rough sets theory and methods[M]. Beijing: Science Press, 2001:118-122.

Google Scholar

[5] Liu Hong-mei. Study on fault diagnosis and availability for helicopter rotor system [D]. Beijing: Beijing University of Aeronautics and Astronautics, 2008.

Google Scholar

[6] Zhao Si-jun. Fault diagnosis for piston head looseness of aero hydraulic pump[R]. Journal of Beijing university of Aeronautics and Astronautics, 2010(36):261-264.

Google Scholar

[7] Sun Hong-yan, Jiang Xue-feng. Method of Dynamic Fuzzy Symptom Vector in Intelligent Diagnosis [J]. Nuclear Power Engineering, 2010(31):67-70.

Google Scholar

[8] Liu Xiao-feng. Machinery Fault Diagnosis Based on Fuzzy Measure and Fuzzy Integral Data Fusion Techniques [J]. Mechanical Systems and Signal Processing, 2009, 23(3):690-700.

DOI: 10.1016/j.ymssp.2008.07.012

Google Scholar