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- 저자 : Zonggang Wang (검색결과 3 건)
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Bin Liu,Changfeng Yan,Zonggang Wang,Yaofeng Liu,Lixiao Wu 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.7
Deep learning is widely used in the field of rolling bearing fault diagnosis because of its excellent advantages in data analysis. However, in practical industrial scenarios, the capability of intelligent fault diagnosis (IFD) method is still affected by two problems: (1) The signal samples provided for network learning are limited; (2) Fully extracting feature information from the original data is difficult. To address the above issues, a novel fault diagnosis method using joint learning network (JLNet) based on local-global feature perception is proposed. The method enhances the learning mechanism of fault signal through the local information dynamic perception subnetwork, which dynamically distinguishes between local impulse segment and normal signal segment. Then, a global channel attention mechanism (CAM) is used to guide the assignment of weights, which helps bidirectional gated recurrent unit (BiGRU) to learn advanced discriminative features. The feature information of the original signal is thoroughly mined through local-global comprehensive perception, thus realizing efficient diagnosis. In addition, the variation of the characteristics of each layer is analyzed by visualization, which improves the interpretability of the network. Finally, experiments are conducted using two different datasets, and the results show that JLNet has a better diagnostic effects and robustness.
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Characteristics of vibration response of ball bearing with local defect considering skidding
Yu Tian,Changfeng Yan,Yaofeng Liu,Wei Luo,Jianxiong Kang,Zonggang Wang,Lixiao Wu 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.11
The occurrence and aggravation of local defects in ball bearings are closely linked to the skidding behavior of the ball. Previous studies have given less attention to investigating the impact of localized defects on the problem of bearing skidding. To investigate the dynamic response of defective bearings due to skidding, a dynamic model of the ball bearing is developed that considers various factors, including self-rotation, revolution, and radial motion of the ball, as well as the contact forces and friction forces of ball/cage and ball/race, time-varying displacement excitation, and elastohydrodynamic lubrication (EHL). Experimental signals collected from a machinery fault simulator test rig are used to validate the accuracy of the proposed model. The impact of race defects on the vibration characteristics of the bearing is analyzed, and the patterns of variation in contact and friction forces within one cycle of inner race rotation are described. The results indicate that the presence of defects intensifies the force fluctuation of the ball and causes it to deviate from its normal rolling condition. By comparing the skidding characteristics of a healthy bearing with a defective one under slippage, local defects will increase the skidding ratio of bearings. The proposed model can investigate the impact of race defects on the vibration response of ball bearings under the skidding condition.
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Huang Guangwei,Bao Hailong,Zhan Peng,Lu Xiyang,Duan Zonggang,Xiong Xinlin,Lin Muzhi,Wang Bing,An Hongxin,Xiahou Luanda,Zhou Haiyan,Luo Zhenhua,Li Wei 대한독성 유전단백체 학회 2024 Molecular & cellular toxicology Vol.20 No.2
Objectives This study aimed at investigating the role of the proprotein convertase subtilisin/Kexin type 9 (PCSK9)-mediated autophagy on myocardial ischemia/reperfusion injury (MIRI). To determine the relationship between autophagy, apoptosis, fibrosis, and inflammation in the myocardium, to provide experience in preventing and treating the myocardial ischemia/reperfusion (I/R) injury. Methods An AC16 hypoxia-reoxygenation model and a rat myocardial ischemia–reperfusion model were established. The concentrations of cardiac troponin T (cTnT) and creatine kinase-MB (CKMB) in plasma were measured by ELISA. To determine the size of the myocardial infarction, TTC/EB staining was performed. In addition to identifying pathological changes in myocardial tissue, Masson’s trichrome stains and H&E stains were used to identify pathological changes. Echocardiography was employed to detect cardiac function. Western blot analysis was then performed to detect the protein expression of Parkin, Pink1, and markers associated with autophagy (Beclin-1, p62, LC3). Results A significant increase in PCSK9 was observed in the myocardium during H/R. In the cardiac-specific PCSK9 knockdown model, cardiac autophagy was significantly inhibited, whereas cardiac-specific PCSK9 overexpression promoted cardiac autophagy. In vivo studies have demonstrated a significant decrease in cardiac autophagy when the PCSK9 inhibitor was administered. Apoptosis induced by I/R was greatly decreased, and myocardial infarction size and function were both improved by PCSK9 inhibitors. Mechanistically, the PCSK9 inhibitor improved the degree of myocardial fibrosis and inhibited the development of inflammation. Conclusions Our results demonstrated that increased PCSK9 via the parkin/pink1 signaling pathway contributes to I/R and H/R by exaggerating excessive autophagy during reperfusion/reoxygenation. In addition, the PCSK9 inhibitor blocked the development of inflammation and improved Infarct size, myocardial function, and myocardial fibrosis.
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