In order to overcome the deficiencies of poor adaptive capacity, lack of inspiration and narrow domain knowledge of
expert system and fundamentally improve the diagnostic efficiency, an intelligent fault diagnosis expert system for
photoelectric tracking devices, based on BP neural network, is put forward. Firstly, in this paper, some key basic
concepts and principles of intelligent fault diagnosis technology are proposed. Secondly, according to the difficulty of
multiple and coupling fault diagnosis, after making a comparative analysis of the related BP neural network algorithms,
such as the quasi-Newton method, the stretch BP method and the conjugate gradient method, a neural network fault
diagnosis reasoning method based on the Levenberg-Marquardt is designed, which combined the implementation of the
diagnosis expert system. Finally, several interrelated essential implementation issues, such as the architecture of the
system and the VR technology based on OpenGL, are also discussed. Practical experiments and applications demonstrate
that the proposed approach is effective, robust and universal.
KEYWORDS: 3D modeling, OpenGL, Electro optical modeling, Virtual reality, Visualization, Human-machine interfaces, Computing systems, 3D displays, Computer simulations, Control systems
In view of the crucial deficiency of the traditional diagnosis approaches for photoelectric tracking devices and the output
of more sufficient diagnosis information, in this paper, an virtual fault diagnosis system based on open graphic
library(OpenGL) is proposed. Firstly, some interrelated key principles and technology of virtual reality, visualization and
intelligent fault diagnosis technology are put forward. Then, the demand analysis and architecture of the system are
elaborated. Next, details of interrelated essential implementation issues are also discussed, including the the 3D modeling
of the related diagnosis equipments, key development process and design via OpenGL. Practical applications and
experiments illuminate that the proposed approach is feasible and effective.
In order to improve the efficiency and to supply more sufficient information support, an intelligent fault diagnosis system
based on desktop virtual environment is proposed. In the first place, basic concepts and principles of virtual reality and
intelligent fault diagnosis technology are presented in this paper. Then, several essential implementation issues of the
system, including the system architecture, the 3D visualization of the fault diagnosis environment and the user interface
and so on, are also been discussed. Lastly, intelligent fault diagnosis technologies are elaborated, such as the rule base
and the strategy of the reasoning and control in the expert system, etc. Practical applications and experiments
demonstrate that the proposed approach is effective and robust.
In this paper, how to achieve 3D visualization fault diagnosis system for photoelectric tracking equipment based on open
graphic library(OpenGL) is researched. To begin with, details of the system architecture design and implementation are
presented. The 3D modelings of all the equipments are built by using 3DSMAX software. Then, the model is
transformed into OpenGL programs. This method overcomes the difficulty of building complex model directly using
OpenGL and reduces the modeling workload. While implementing 3D driving, the alternative operation between human
and the computer is achieved. Finally, intelligent fault diagnosis technologies including the rule base and the reasoning
strategy in the expert system are discussed. Practical applications illuminate that the proposed approach is feasible and
effective.
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