Applied Mechanics and Materials
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Applied Mechanics and Materials
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Applied Mechanics and Materials
Vols. 138-139
Vols. 138-139
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Vols. 121-126
Applied Mechanics and Materials Vols. 138-139
Paper Title Page
Abstract: Be dead against the fact that most of algorithms are incapable to solve Multi-Models Estimation effectually,a new method is provided that estimate multi-models with Model-Based Clustering in Conceptual Space.Start from that each data point is represented with a Preference Set of hypotheses models preferred by that poin,and then,the Jaccard distance between two Preference Sets is described as a attribute of a data point, finally, to perform a clustering operation using the improved Cobweb algorithm based on the attribute of the data points.Neither this method requires prior specification of the number of models, nor it necessitate parameters transform,so that it can overcome missing detection and false detection of crossing models.
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Abstract: Air-jet spinning combines the advantages of the false twist jet spinning and open end spinning. This paper discusses the property of the air-jet spinning and the main structural factors affecting air-jet spinning yarn strength.
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Abstract: Reliability allocation optimization problem of a complex mechatronic system is a highly nonlinear constrained optimization problem, and hence solution to this kind of problem is of NP-hardness even with moderate scale. Due to the nonlinearity combined with multiple local extreme values, traditional optimization techniques fail to arrive at the global or nearly global optimal solution to the problem. Genetic algorithm incorporated with neighboring domain traversal searching technique is utilized in this paper to solve the complex mechatronic system reliability optimization allocation problem. Reliability allocation optimization of the life-support system in a space capsule, being a typical non serial-parallel system, is specifically demonstrated to show the satisfactory convergence performance as well as the important practical value of hybrid genetic algorithm. The simulation results show that the proposed method may gain better precision in solving the complex mechatronic system reliability optimization problem.
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