|其他题名: ||study of intelligent fault diagnosis technology for photoelectric tracking devices
|英文摘要: ||Along with the continued development and progress of science, the photoelectric tracking and measuring equipments are facing the change of large-scale integration, complication, high speed and automation. Its structure is becoming more and more complicated and powerful, meanwhile, various information technology and intellectual technology are widely used. The conventional fault diagnosis technology is confronted with the severe challenges of the ever-expanding performance requirements of the outfield test mission and the requirements of high reliability, maintenance, intelligence and timeliness. Against this background, according to the leading particulars of inherent complexity, nonlinearity, dynamics, relevance and nondeterminacy for the photoelectric tracking devices, on the basis of a thorough analysis of the international and domestic advanced fault diagnosis technology, an intelligent fault diagnosis system based on desktop virtual environment is proposed, which uses artificial intelligence theory and implementation technique , combined with the growing maturity of virtual reality technology.The main research contents and achievements can be summarized as follows.
(1) Research on intelligent fault diagnosis expert system based on production rule
The international and domestic sophisticated technologies of fault diagnosis, AI and virtual reality are elaborated In this paper, and attention is concentrated on the intelligent diagnosis technology applied to the Dynamic and complicated system. Meanwhile, this paper made an analysis of the functional configuration of the devices, which use stage treatment methods for expert knowledge and use fault layering methods. Also , the common fault mechanism, feature, symptom and decision-theoretic approach are reviewed and disccused. Finally, on the basis of sufficient data and theory, a technologies development solution of a diagnosis expert system is presented, which use neural network reasoning technique, based on a virtual diagnosis environment.
According to the practical situation of the project, the composition, structure, principle and related implementation technique is studied and the fault diagnosis expert system based on the rule and frame knowledge representation is selected. Thereinto, as regards the knowledge representation, the frame knowledge representation, production and are used, which has the feature of high stability and is easy to express. Also, the fault trees are used in the system. For the design of inference engine, the forward and reverse inference strategy is adopted in the staged reasoning process.
(2) Study of inference engine of diagnosis expert system based on BP neural network
In the diagnosis reasoning process, the BP neural network is used, which made a convert from a single control strategy to a mixed strategy of intelligent reasoning and avoided the deficiencies of poor adaptive capacity, lack of inspiration and narrow domain knowledge of expert system. 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 according to the difficulty of multiple and coupling fault diagnosis. Practical applications and experiments demonstrate that the proposed approach is effective, robust and universal.
(3) 3D visualization of fault diagnosis environment for photoelectric tracking and measuring equipments
The virtual reality technology applied to the intelligent diagnosis system. Several essential implementation issues of the system, including the OpenGL image-forming principle, the modelling techniques, the billboard technique ,the texture mapping technique and so on, are been discussed. The practicability , intuitionism and overall performance of the system was improved greatly by the 3D visualization of the fault diagnosis environment. Finally, the realization of the hardware and software of the system was presented in this paper. And the rule base, the diagnosis database, the interface design and other related key techniques were also introduced.
In order to meet and suit the ever-expanding performance requirement of the outfield test mission and the requirements of high reliability, maintenance, intelligence and timeliness of the related the photoelectric tracking devices under the new situation, the intelligent fault diagnosis system on the basis of the virtual diagnosis environment is developed, which combined with the artificial intelligence, the virtual reality and the distributed network technology. Practical applications demonstrate that using the virtual reality in the intelligent diagnosis system illustrates a good prospect of application and extension.|
|Appears in Collections:||光电技术研究所博硕士论文_学位论文|
|File Name/ File Size
侯明亮. 光电成像跟踪设备智能故障诊断技术研究[D]. 光电技术研究所. 中国科学院光电技术研究所. 2008.