Abstract

Because of the mechanical situation, aerial carrier condition, environment condition and usage maintenance of the aerial camera, faults always occur. So it is necessary to check and maintain the aerial camera on the ground, and the interior structure of the aerial camera is very complex, and the aerial camera is composed by many circuit boards, and the checking must be performed from the whole camera to each component. Aiming at the demands of aerial camera fault diagnosis, the board level fault diagnosis system of aerial camera was developed in the article. The failure mode of the exposure board in the aerial camera electric control system was completely analyzed, and the exposure board fault board model based on Petri net was established, and the dynamical transition of the system status was solved by the relational matrix method, and the TPS program of the exposure board was compiled, and the fault diagnosis of the exposure board was primarily actualized in the article.

Highlights

  • August, 2009 function module, and the data interfaces of various checking sub-channels correspond with the diagnosed circuit board interfaces to actualize the fault diagnosis of various function circuit boards

  • Petri Net is a sort of mathematical model proposed by German Scientist Petri, and it is a sort of figure method whish is used to denote and analyze the dynamical behaviors of the system, and it adopts some basic figure symbols to describe the relation between conditions and events (Yuan, 2005)

  • Aiming at the ground checking demands of the aerial camera of the army, the fault diagnosis system of aerial camera is studied in the article, and the fault diagnosis method based on Petri net is adopted to diagnosis the faults of the exposure board of the aerial camera, and the systematic fault model is established

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Summary

Brief introduction of Petri net

Petri Net is a sort of mathematical model proposed by German Scientist Petri, and it is a sort of figure method whish is used to denote and analyze the dynamical behaviors of the system, and it adopts some basic figure symbols to describe the relation between conditions and events (Yuan, 2005). The dynamical transition process of the system status can be studied through the shifts of data, resources and conditional decisions. The place node and the transition node can be used to implement static structured analysis to the system, and the token on the node can be used to implement the dynamical behavior analysis

Petri net and the description of event logic relationship
Establishment of the exposure board fault model based on Petri net
Conclusions
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