In order to increase the fault diagnosis efficiency and make the fault data mining be realized, the decision table containing numerical attributes must be discretized for further calculations. The discernibility matri...In order to increase the fault diagnosis efficiency and make the fault data mining be realized, the decision table containing numerical attributes must be discretized for further calculations. The discernibility matrix-based reduction method depends on whether the numerical attributes can be properly discretized or not.So a discretization algorithm based on particle swarm optimization(PSO) is proposed. Moreover, hybrid weights are adopted in the process of particles evolution. Comparative calculations for certain equipment are completed to demonstrate the effectiveness of the proposed algorithm. The results indicate that the proposed algorithm has better performance than other popular algorithms such as class-attribute interdependence maximization(CAIM)discretization method and entropy-based discretization method.展开更多
Owing to some excellent properties(such as large transmission ratio, high reliability, high precision,large stiffness, small volume and long service life), filtering reducers are suitable for occasions with high requi...Owing to some excellent properties(such as large transmission ratio, high reliability, high precision,large stiffness, small volume and long service life), filtering reducers are suitable for occasions with high requirements(e.g. space equipment). However, the tough working condition in space(including frequent changes of temperature, and large temperature difference combined with shock loads) may significantly affect the reliability.In this paper, the expressions of the minimal and maximal instantaneous transmission ratios(ITRs) considering temperature correction are developed. The minimal and maximal ITRs from simulation are used to verify the accuracy. Moreover, the reliability of a filtering reducer under different temperatures and the shock load are calculated, respectively. The research is beneficial to the design of spacecraft mechanism.展开更多
基金the National Natural Science Foundation of China(No.51775090)the General Program of Civil Aviation Flight University of China(No.J2015-39)
文摘In order to increase the fault diagnosis efficiency and make the fault data mining be realized, the decision table containing numerical attributes must be discretized for further calculations. The discernibility matrix-based reduction method depends on whether the numerical attributes can be properly discretized or not.So a discretization algorithm based on particle swarm optimization(PSO) is proposed. Moreover, hybrid weights are adopted in the process of particles evolution. Comparative calculations for certain equipment are completed to demonstrate the effectiveness of the proposed algorithm. The results indicate that the proposed algorithm has better performance than other popular algorithms such as class-attribute interdependence maximization(CAIM)discretization method and entropy-based discretization method.
基金the Open Foundation of the State Key Laboratory of Mechanical Transmissions of Chongqing University(No.SKLMT-KFKT-201601)
文摘Owing to some excellent properties(such as large transmission ratio, high reliability, high precision,large stiffness, small volume and long service life), filtering reducers are suitable for occasions with high requirements(e.g. space equipment). However, the tough working condition in space(including frequent changes of temperature, and large temperature difference combined with shock loads) may significantly affect the reliability.In this paper, the expressions of the minimal and maximal instantaneous transmission ratios(ITRs) considering temperature correction are developed. The minimal and maximal ITRs from simulation are used to verify the accuracy. Moreover, the reliability of a filtering reducer under different temperatures and the shock load are calculated, respectively. The research is beneficial to the design of spacecraft mechanism.
