Mechanical and electrical products are more and more widely used in all the fields of the society. With the increase in the degree of automation and miniaturization, the structure of many mechanical and electrical pro...Mechanical and electrical products are more and more widely used in all the fields of the society. With the increase in the degree of automation and miniaturization, the structure of many mechanical and electrical products is becoming more and more complex, and the conditions of the use are also increasingly harsh, and therefore more and more product reliability issues are arising, and the reliability technology is being paid more and more attention to. In this paper, aiming at the mechanical and electtical products, from the three aspects of reliability management, reliability design and analysis, and reliability test and evaluation, the reliability research is preliminary studied.展开更多
As a core part of the electronic warfare(EW) system,de-interleaving is used to separate interleaved radar signals. The de-interleaving algorithm based on the fuzzy adaptive resonance theory(fuzzy ART) is plagued by th...As a core part of the electronic warfare(EW) system,de-interleaving is used to separate interleaved radar signals. The de-interleaving algorithm based on the fuzzy adaptive resonance theory(fuzzy ART) is plagued by the problems of premature saturation and performance improving dilemma. This study proposes a dual fuzzy vigilance ART(DFV-ART) algorithm to address these problems and make the following improvements. Firstly, a correction method is introduced to prevent the network from prematurely saturating;then, the fuzzy vigilance models(FVM) are constructed to replace the conventional vigilance parameter, reducing the error probability in the overlapping region;finally, a dual vigilance mechanism is introduced to solve the performance improving dilemma. Simulation results show that the proposed algorithm could improve the clustering accuracy(quantization error dropped60%) and the de-interleaving performance(clustering quality increased by 10%) while suppressing the excessive proliferation of categories.展开更多
文摘Mechanical and electrical products are more and more widely used in all the fields of the society. With the increase in the degree of automation and miniaturization, the structure of many mechanical and electrical products is becoming more and more complex, and the conditions of the use are also increasingly harsh, and therefore more and more product reliability issues are arising, and the reliability technology is being paid more and more attention to. In this paper, aiming at the mechanical and electtical products, from the three aspects of reliability management, reliability design and analysis, and reliability test and evaluation, the reliability research is preliminary studied.
基金supported by the National Natural Science Foundation of China(61571043)the 111 Project of China(B14010)。
文摘As a core part of the electronic warfare(EW) system,de-interleaving is used to separate interleaved radar signals. The de-interleaving algorithm based on the fuzzy adaptive resonance theory(fuzzy ART) is plagued by the problems of premature saturation and performance improving dilemma. This study proposes a dual fuzzy vigilance ART(DFV-ART) algorithm to address these problems and make the following improvements. Firstly, a correction method is introduced to prevent the network from prematurely saturating;then, the fuzzy vigilance models(FVM) are constructed to replace the conventional vigilance parameter, reducing the error probability in the overlapping region;finally, a dual vigilance mechanism is introduced to solve the performance improving dilemma. Simulation results show that the proposed algorithm could improve the clustering accuracy(quantization error dropped60%) and the de-interleaving performance(clustering quality increased by 10%) while suppressing the excessive proliferation of categories.
