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Because of the high temperature and high pressure environment inside the annular combustor of an aircraft engine, the direct measurement of the burner noise is very difficult. This paper set up the model of the total sound level and the effect factor SVR though analyzing the relationship between the total sound level and noise parameters of the combustion chamber the annular combustor an aircraft engine and the influence factors,, and it is better than multiple regression mode and the projection pursuit regression model, and predict the predicting samples so it is important for aero-engine design and reliability analysis.

The maintenance way of armored vehicle engine is hard time maintenance and breakdown maintenance in our army. So, the situation of lack or excess of maintenance is often existing in armored vehicle engine, and leading to potential safety hazard and wasting of resources. Condition based maintenance, which based on advanced detect and diagnosis technology, is a good way to solve the problems mentioned above. So, parameter tables which can completely reflect the state of armored vehicle engine is set up in this paper, and analytic hierarchy process and fuzzy synthetic evaluation method is used to scientific assess the state of vehicle engine. The computational process is demonstrated by analysis the experiment data of an armored vehicle engine. The work gives the foundation for condition based maintenance of armored vehicle engine.

Maintainability is an important factor need to be considered in the strategy making process of armored vehicle engine. Combined with the factors analysis of the maintainability, fuzzy analytic hierarchy process (FAHP) is used to realize the reasonable evaluation of the engine maintainability based on failure model effectiveness analysis (FMEA) and the characteristic parameter test. The research provides a basis for the condition based maintenance of armored vehicle engine.

The impulsive synchronization of spatiotemprol chaos is investigated. A proof of the existence of a certain kind of impulses for synchronization such that the error dynamics is equi-attractive in the large is established. The numericle experiments validate the effectiveness of the results.

The aim of remote sensing image processing is to extract important geographic information toward a better understanding of the objective world. ERDAS IMAGINE is a system for processing of remote sensing images, which provides abundant and functional image processing tools, especially the tools for spatial modeler. In this paper, using the spatial modeler, we have developed several graphic models for remote sensing image enhancement based on the fundamental principles of image processing. The results showed that the developed models are easy to use and make the image processing faster. Additionally, the simulated running of the models confirmed the feasibility of those graphic models for remote sensing image processing.