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Defects are often arise on the inner surface of an aeroengine, but most of the aeroengine borescopes can only detect the damages and cannot determine the degree of damages. We propose a novel borescope assessment expert system (ES) to evaluate the degree of typical flaws of an engine and to provide the corresponding maintenance advices. The system put typical damage images and relevant maintenance...
Aimed at these shorts of the unity expert system in rotate machine fault diagnosis, a new method of neural network interfused with traditional expert system is presented in rotate machine fault diagnosis. The frame and function expression of rotate machine fault diagnosis system based on neural network and traditional expert system are given. The select method of diagnosis parameter and the setting...
The method about directly getting the geometric information and parts information from the CAD graphic database system is a technique to make CAD/CAPP/CAM system integration. NURBS can make all curves have the same mathematic representation in the CAD/CAM system, it also as the international standard in STEP standard of the industrial product geometric, which was promulgate at the ISO. The method...
Both natural computing and fuzzy method exhibit human-like mental processing. Natural computing is the field of research that works with computational techniques inspired in part by natural systems. Fuzzy method is an alternative to traditional notions of set membership and logic, and it occurs in many applications of engineering, science and medicine. This paper presents a survey of recent advances...
This paper presents an efficient algorithm for reducing the computation time of metaheuristics. The proposed algorithm is motivated by the observation that some of the subsolutions of metaheuristics will eventually end up being part of the final solutions. As such, if they can be saved away as soon as they were found, then most, if not all, of the redundant computations can be eliminated to save the...
To solve the basic problem in the autonomous navigation for the virtual vehicles, the application of reinforcement learning is discussed, combined with artificial neural network, a model is proposed to realize the autonomous navigation for virtual vehicles. The autonomous navigation for the virtual vehicles is accomplished by reinforcement learning, the generalization problem for the action selection...
The complex systems and complexity is the kernel scientific problem of the 21st century. In this paper, the complex system simulation methods and its application are discussed. The computational agent-based model and simulation methodology for complex systems is approved in the paper. First, the related works and some application fields are introduced. Second, several modeling methods are discussed...
This paper proposes a novel ensemble learning framework, namely, multiple-phase cost-sensitive ensemble learning (MPCSL) which simulates the means and process of human being learning.It consists of two types learning, i.e., direct learning which learns multiple weak learners from a training dataset via some homogeneous or heterogenous algorithms, and indirect learning that constructs a committee from...
The networks of interdependencies in large-scale software systems are complex, understand and measurement become a key problem for developer. we propose that OO design structure can be quantitative analyzed and better understood via core-shell decomposition based on complex networks. The k-core analysis allows to characterize networks beyond the degree distribution and uncover structural hierarchies...
This paper is to understand the dynamics of teaching behaviors based on complex adaptive system theory and methods of modeling. Due to the complexity and indetermination of complex systems, it is difficult to study the complex systems with the traditional reductive theory. The agent-based computer simulation is approved in the paper. Because classical interactions only among pre-set behavioral models...
Kademlia protocol has been studied carefully in this paper. The Kademlia mechanism based on interest is proposed to support approximate search. The interest eigenvector is used to represent the peer's interest. Moreover the interest router table that stores the peers' interest information replaces the original one. Especially as a part of the interest router table, each K-bucket stores a certain number...
Temperature control system of the thermal analyzer is characteristic of nonlinear, time-varying and time-lag. However, the temperature control system with conventional proportional-integral-differential (PID) controller can not meet a wide range of precision temperature control requirements. In order to improve a wide range of temperature control accuracy, we design and implement a temperature control...
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