Due to the fact that the vibration signal of the rotating machine is one-dimensional and the large-scale convolution kernel can obtain a better perception field, on the basis of the classical convolution neural networ...Due to the fact that the vibration signal of the rotating machine is one-dimensional and the large-scale convolution kernel can obtain a better perception field, on the basis of the classical convolution neural network model(LetNet-5), one-dimensional large-kernel convolution neural network(1 DLCNN) is designed. Since the hyper-parameters of 1 DLCNN have a greater impact on network performance, the genetic algorithm(GA) is used to optimize the hyper-parameters, and the method of optimizing the parameters of 1 DLCNN by the genetic algorithm is named GA-1 DLCNN. The experimental results show that the optimal network model based on the GA-1 DLCNN method can achieve 99.9% fault diagnosis accuracy, which is much higher than those of other traditional fault diagnosis methods. In addition, the 1 DLCNN is compared with one-dimencional small-kernel convolution neural network(1 DSCNN) and the classical two-dimensional convolution neural network model. The input sample lengths are set to be 128, 256, 512, 1 024, and 2 048, respectively, and the final diagnostic accuracy results and the visual scatter plot show that the effect of 1 DLCNN is optimal.展开更多
This study investigates the motivations of Chinese domestic tourists visiting seismic memorial sites after the great Wenchuan earthquake of 2008, and examines their interpretation of experiences and benefits of the vi...This study investigates the motivations of Chinese domestic tourists visiting seismic memorial sites after the great Wenchuan earthquake of 2008, and examines their interpretation of experiences and benefits of the visits. Recent research on dark tourism has raised the possibility that people are attracted to death and memorial sites in ways different from other tourist attractions. The study used an empirical research design employing questionnaires to collect data from 255 Chinese domestic visitors at seismic memorial sites in west Sichuan. Analysis revealed that the obligation of commemoration mixed with curiosity represents a different set of travel motivation in dark tourism settings than in other kinds of tourism. In addition, the empirical evidence also suggests an interrelated pattern between motivations, experiences and benefits. This study implies that Chinese domestic tourists were attracted in ways different from other tourist attractions both because they tended to fulfill their obligation of commemoration and were interested in destruction; and visitor experiences played an important mediating role between travel motivations and benefits gained.展开更多
基金The National Natural Science Foundation of China(No.51675098)
文摘Due to the fact that the vibration signal of the rotating machine is one-dimensional and the large-scale convolution kernel can obtain a better perception field, on the basis of the classical convolution neural network model(LetNet-5), one-dimensional large-kernel convolution neural network(1 DLCNN) is designed. Since the hyper-parameters of 1 DLCNN have a greater impact on network performance, the genetic algorithm(GA) is used to optimize the hyper-parameters, and the method of optimizing the parameters of 1 DLCNN by the genetic algorithm is named GA-1 DLCNN. The experimental results show that the optimal network model based on the GA-1 DLCNN method can achieve 99.9% fault diagnosis accuracy, which is much higher than those of other traditional fault diagnosis methods. In addition, the 1 DLCNN is compared with one-dimencional small-kernel convolution neural network(1 DSCNN) and the classical two-dimensional convolution neural network model. The input sample lengths are set to be 128, 256, 512, 1 024, and 2 048, respectively, and the final diagnostic accuracy results and the visual scatter plot show that the effect of 1 DLCNN is optimal.
基金supported by the China Scholarship Council(Liujinfa[2011]No.5024)the Key Teachers Development Fellowship Program of CDUT(KYGG201313)the Center for Folk Culture Studies(MJ13-09)
文摘This study investigates the motivations of Chinese domestic tourists visiting seismic memorial sites after the great Wenchuan earthquake of 2008, and examines their interpretation of experiences and benefits of the visits. Recent research on dark tourism has raised the possibility that people are attracted to death and memorial sites in ways different from other tourist attractions. The study used an empirical research design employing questionnaires to collect data from 255 Chinese domestic visitors at seismic memorial sites in west Sichuan. Analysis revealed that the obligation of commemoration mixed with curiosity represents a different set of travel motivation in dark tourism settings than in other kinds of tourism. In addition, the empirical evidence also suggests an interrelated pattern between motivations, experiences and benefits. This study implies that Chinese domestic tourists were attracted in ways different from other tourist attractions both because they tended to fulfill their obligation of commemoration and were interested in destruction; and visitor experiences played an important mediating role between travel motivations and benefits gained.
