Training Equipment Design for Repairing Aircraft Fuel System Based on CAN Bus

Jian Hua Song; Zheng Wang; Xing Dong Zhu

doi:10.4028/www.scientific.net/AMM.391.123

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 391Training Equipment Design for Repairing Aircraft...

Training Equipment Design for Repairing Aircraft Fuel System Based on CAN Bus

Abstract:

At this time training equipment for maintenance personnel is relatively primitive. This laboratory training equipment was designed on CAN bus and simulates a real aircraft fuel system. The device adopts the application program and KingView to build a man-machine interface and presentation, using PLC technology to achieve electrical logic control. It simulates physical device faults using CAN bus to deliver communication between industrial computer, PLC and other components. The fault tree in the form of the case is stored in the SQL database. The equipment combines software and hardware, with full functions, high stability and support for expansion. It meets fully the current training tasks and requirements for fault analysis. After testing, it has proven to be satisfactory.

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Periodical:

Applied Mechanics and Materials (Volume 391)

Pages:

123-126

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.391.123

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Online since:

September 2013

Authors:

Jian Hua Song, Zheng Wang, Xing Dong Zhu

Keywords:

Aircraft Fuel System, CAN Bus, Simulation Test, Training for Repair

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References

[1] Yao Jubiao, Jiang Keyu, Yao Chaoyi, Analysis of LPG engine PID parameter control of transient air -fuel ration based on improve elman neural network, in Journal of Software, 2009, 5(1): 54 -64.

DOI: 10.4304/jsw.5.1.54-64

Google Scholar

[2] Mahmoud Pegah, Jon Sticklen, Functional representation and reasoning about the F/A -18 aircraft fuel system, in Functional Reasoning & Functional Modeling, 1993: 65-71.

DOI: 10.1109/64.207430

Google Scholar

[3] Song Dong, Zhou Jianmin, Wang Yanwen, Design based on the model of the aircraft fuel system fault diagnosis system, in Monitoring the technology, 2011, 30(4): 43-50.

Google Scholar

[4] Long Hao, Wang Xinmin, Aircraft fuel system real-time fault diagnosis expert system, in Aircraft Design, 2006, 6(2): 63 -67.

DOI: 10.1109/wcica.2008.4594020

Google Scholar