Research on Intelligent Fault Diagnosis Methods of Armored Vehicles Electrical System

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Abstract:

For armored vehicles electrical system fault diagnosis of fault original data collection difficult situation, a new intelligent computing programs designed based on the fuzzy set theory and possibility distribution theory and fuzzy logic reasoning design, which realized the process of KA automatization through the combination of fault simulation technology and knowledge acquisition technology. The approach presented in this paper makes the work of knowledge acquisition (KA) engineer easier, and makes fast diagnosis fault location and fault reasons possible.

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Periodical:

Advanced Materials Research (Volumes 753-755)

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2175-2178

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Online since:

August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Shiyuan Yang: Fault Diagnosis and Reliability Design of the Analog System(Tsinghua University Publications , China 1993).

Google Scholar

[2] Peng Wang, Shiyuan Yang, the test Method of Analog Circuit port voltage on Current Source Excitation, Microelectronics and computer, 2006, 23(8): 4-6.

Google Scholar

[3] Guobao Ding, Jian'an Lou, Chao Yun, A new Method of Electronic Circuit Fault Knowledge Acquisition Method Based on Pspice, Computer Measurement and Control, 2010, 2(2): 286-288.

Google Scholar