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A new fault diagnosis method based on convolutional neural network and compressive sensing
Yunfei Ma,Xisheng Jia,Huajun Bai,Guozeng Liu,Guanglong Wang,Chiming Guo,Shuangchuan Wang 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.11
Compressive sensing is an efficient machinery monitoring framework, which just needs to sample and store a small amount of observed signal. However, traditional reconstruction and fault detection methods cost great time and the accuracy is not satisfied. For this problem, a 1D convolutional neural network (CNN) is adopted here for fault diagnosis using the compressed signal. CNN replaces the reconstruction and fault detection processes and greatly improves the performance. Since the main information has been reserved in the compressed signal, the CNN is able to extract features from it automatically. The experiments on compressed gearbox signal demonstrated that CNN not only achieves better accuracy but also costs less time. The influencing factors of CNN have been discussed, and we compared the CNN with other classifiers. Moreover, the CNN model was also tested on bearing dataset from Case Western Reserve University. The proposed model achieves more than 90 % accuracy even for 50 % compressed signal.
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Guo Zeng,Li Rui,Jiguo Zhang,Guangli Liu,Danqi Xu The Korean Society of Community Nutrition 2004 Journal of community nutrition Vol.6 No.3
Parents play an important role in the development of their children's nutritional knowledge, attitude and practice (KAP). This study was conducted to investigate and assess the nutrition KAP status related to prevention of childhood obesity for parents of preschool children. 1828 subjects were selected cluster-randomly from 6 kindergartens in the urban of Chengdu, China and were surveyed by questionnaire. The results showed that the rate above $80\%$ of total score were $64.3\%(K),\;89.6\%(A),\;19.5\%(P)$ respectively. The nutrition KAP score of subjects was influenced by their education, gender and age. K, A and P scores were positively correlated with each other. The most expected approach obtained nutritional information for subjects was from newspaper, magazines, lectures and TV. It is concluded that the parents of preschool children in Chengdu indicated the limited nutrition knowledge, imperfect nutrition practice and better nutrition attitude. It is suggested that more nutritional education programs on childhood obesity prevention should be given mainly by newspapers, magazines and lectures in this population.
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