Pub Date : 2021-10-15DOI: 10.1109/PHM-Nanjing52125.2021.9612949
Ziqian Shen, Wei Guo
Knowledge distillation (KD) is one of popular algorithms for compressing deep neural networks because it generates a compact but still powerful deep neural network for the cases of complicated situations and limited computation resources. In this study, an intelligent fault diagnosis method is developed based on the probabilistic knowledge distillation (PKD) and deep convolutional neural network (CNN) to determine the health states of bearings. First, the one-dimensional vibration signal is reshaped as a two-dimensional matrix to input the teacher or student network. Then, a deeper neural network and small network are trained as the teacher and student networks, respectively. The probability distribution (PD) is learned by minimizing the difference of the joint density probability estimation between the teacher and student networks, that is, the lightweight network learns to integrate the PD of the deeper neural network in the high-dimensional feature space and realizes the knowledge transfer from training samples to test samples. The results of experimental bearings indicate that the proposed diagnosis method has higher diagnosis accuracy than the other two popular knowledge distillation methods and its student network only has about one 700-th parameter of the teacher network. Therefore, the proposed method achieves a good balance between the classification accuracy and network compression, and demonstrates potential application to intelligent fault diagnosis of bearings under varying working conditions.
{"title":"An Intelligent Bearing Fault Diagnosis based on Modified Probabilistic Knowledge Distillation","authors":"Ziqian Shen, Wei Guo","doi":"10.1109/PHM-Nanjing52125.2021.9612949","DOIUrl":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612949","url":null,"abstract":"Knowledge distillation (KD) is one of popular algorithms for compressing deep neural networks because it generates a compact but still powerful deep neural network for the cases of complicated situations and limited computation resources. In this study, an intelligent fault diagnosis method is developed based on the probabilistic knowledge distillation (PKD) and deep convolutional neural network (CNN) to determine the health states of bearings. First, the one-dimensional vibration signal is reshaped as a two-dimensional matrix to input the teacher or student network. Then, a deeper neural network and small network are trained as the teacher and student networks, respectively. The probability distribution (PD) is learned by minimizing the difference of the joint density probability estimation between the teacher and student networks, that is, the lightweight network learns to integrate the PD of the deeper neural network in the high-dimensional feature space and realizes the knowledge transfer from training samples to test samples. The results of experimental bearings indicate that the proposed diagnosis method has higher diagnosis accuracy than the other two popular knowledge distillation methods and its student network only has about one 700-th parameter of the teacher network. Therefore, the proposed method achieves a good balance between the classification accuracy and network compression, and demonstrates potential application to intelligent fault diagnosis of bearings under varying working conditions.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"183 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133384005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-15DOI: 10.1109/PHM-Nanjing52125.2021.9612812
Luoru Ma, Jiaying Ling
National innovative city pilot project plays a vital role in improving the level of national independent innovation and also in concentrating on higher quality economic growth. Based on the panel data of 213 cities in China from 2003 to 2018, the paper uses difference-in-difference (DID) method to empirically examine the effect of constructing national innovative cities on foreign direct investment (FDI). Results show that the national innovation city pilot policy generally shrinks the scale of FDI, and has a greater effect on prefecture-level cities when municipalities directly under the central government, provincial capitals and sub-provincial cities are removed from the samples. These findings highlight the significance of improving independent innovation and attracting high-quality FDI.
{"title":"The Effects of Constructing National Innovative Cities on Foreign Direct Investment","authors":"Luoru Ma, Jiaying Ling","doi":"10.1109/PHM-Nanjing52125.2021.9612812","DOIUrl":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612812","url":null,"abstract":"National innovative city pilot project plays a vital role in improving the level of national independent innovation and also in concentrating on higher quality economic growth. Based on the panel data of 213 cities in China from 2003 to 2018, the paper uses difference-in-difference (DID) method to empirically examine the effect of constructing national innovative cities on foreign direct investment (FDI). Results show that the national innovation city pilot policy generally shrinks the scale of FDI, and has a greater effect on prefecture-level cities when municipalities directly under the central government, provincial capitals and sub-provincial cities are removed from the samples. These findings highlight the significance of improving independent innovation and attracting high-quality FDI.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"341 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114003562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-15DOI: 10.1109/PHM-Nanjing52125.2021.9612862
Li Huang, Jingjing Liu, Po-Chou Shih
In order to balance the workload of the operating nurses on an operating day, this paper first decomposes the operations of the operating nurses and employs the JACK software to simulate the working posture. The REBA scores are obtained according to the body radian of working posture, and the RMR values are obtained from REBA scores. According to the basic body data of the operating nurse and the continuous working time, the fatigue load of the nurse is quantified. Based on the quantification of nurse fatigue, this paper constructs an operating nurse scheduling model and uses lingo software to solve it. Finally, the effectiveness of the model is verified through a case study from M Hospital in Sichuan Province. The quantification of the fatigue-based nurse arrangement model can not only ensure the hospital’s surgical care needs, but also balance the burden of operating nurses, improve the health of nurses, and provide a reference for the humanized work arrangements in the hospital’s daily medical services.
{"title":"Research on Operating Nurse Assignment Based on Fatigue Quantification","authors":"Li Huang, Jingjing Liu, Po-Chou Shih","doi":"10.1109/PHM-Nanjing52125.2021.9612862","DOIUrl":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612862","url":null,"abstract":"In order to balance the workload of the operating nurses on an operating day, this paper first decomposes the operations of the operating nurses and employs the JACK software to simulate the working posture. The REBA scores are obtained according to the body radian of working posture, and the RMR values are obtained from REBA scores. According to the basic body data of the operating nurse and the continuous working time, the fatigue load of the nurse is quantified. Based on the quantification of nurse fatigue, this paper constructs an operating nurse scheduling model and uses lingo software to solve it. Finally, the effectiveness of the model is verified through a case study from M Hospital in Sichuan Province. The quantification of the fatigue-based nurse arrangement model can not only ensure the hospital’s surgical care needs, but also balance the burden of operating nurses, improve the health of nurses, and provide a reference for the humanized work arrangements in the hospital’s daily medical services.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115074530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-15DOI: 10.1109/PHM-Nanjing52125.2021.9612815
Shouguo Cheng
the dynamic analysis of reciprocating compressor with revolution joint clearance and translational joint clearance is introduced. The effect of the revolution joint clearance is expressed by the massless rod, and the interaction force between crosshead and the guide is expressed by the elastic damping collision force. The reciprocating compressor model with two kinds of wear clearance faults is established. Through numerical simulation, the variation law of crosshead motion parameters is found. The numerical results show that when there is a revolution joint clearance, translational joint clearance increases continuously, its displacement fluctuation is very small, its acceleration changes the most, and its velocity changes are affected in a certain time period. In the presence of crosshead wear clearance, the wear revolution joint clearance increases continuously. Similarly, its displacement fluctuation is very small, its acceleration changes the most, and its velocity changes are affected in a certain time period. The stability of the system with two kinds of wear clearance faults is judged by phase diagram method and maximum Lyapunov exponent method. It is found that the system is chaotic.
{"title":"Dynamic analysis of reciprocating compressor with revolution joint clearance and translational joint clearance","authors":"Shouguo Cheng","doi":"10.1109/PHM-Nanjing52125.2021.9612815","DOIUrl":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612815","url":null,"abstract":"the dynamic analysis of reciprocating compressor with revolution joint clearance and translational joint clearance is introduced. The effect of the revolution joint clearance is expressed by the massless rod, and the interaction force between crosshead and the guide is expressed by the elastic damping collision force. The reciprocating compressor model with two kinds of wear clearance faults is established. Through numerical simulation, the variation law of crosshead motion parameters is found. The numerical results show that when there is a revolution joint clearance, translational joint clearance increases continuously, its displacement fluctuation is very small, its acceleration changes the most, and its velocity changes are affected in a certain time period. In the presence of crosshead wear clearance, the wear revolution joint clearance increases continuously. Similarly, its displacement fluctuation is very small, its acceleration changes the most, and its velocity changes are affected in a certain time period. The stability of the system with two kinds of wear clearance faults is judged by phase diagram method and maximum Lyapunov exponent method. It is found that the system is chaotic.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115191208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-15DOI: 10.1109/PHM-Nanjing52125.2021.9612888
WenYang Chen, Y.Q. Chen, K. Geng
In this work, the degradation behavior and the physical mechanism of the AlGaN/GaN HEMTs with p-GaN gate after HTGB stress were investigated. The experiment results show that the threshold voltage ($V_{th})$ and gate leakage currents (Igss) increase obviously. At the same time, the drain-source current (Ids) decreases significantly after HTGB stress. However, the on-state resistance (Ron) and the blocking characteristics have no change. Furthermore, obvious decrease was observed in the $C_{g}-V_{g}$ curve, and it shows that the interface state increases significantly after HTGB stress. The physical mechanism of the degradation behavior could be attributed to electromigration and the formation of new traps at p-GaN layer, AlGaN barrier, p-GaN/AlGaN interface, and AlGaN/GaN interface. This work could be a useful reference for the study of AlGaN/GaN HEMTs.
{"title":"Degradation Behavior and Mechanisms of E-mode GaN HEMTs with p-GaN Gate under High Temperature Gate Bias Stress","authors":"WenYang Chen, Y.Q. Chen, K. Geng","doi":"10.1109/PHM-Nanjing52125.2021.9612888","DOIUrl":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612888","url":null,"abstract":"In this work, the degradation behavior and the physical mechanism of the AlGaN/GaN HEMTs with p-GaN gate after HTGB stress were investigated. The experiment results show that the threshold voltage ($V_{th})$ and gate leakage currents (Igss) increase obviously. At the same time, the drain-source current (Ids) decreases significantly after HTGB stress. However, the on-state resistance (Ron) and the blocking characteristics have no change. Furthermore, obvious decrease was observed in the $C_{g}-V_{g}$ curve, and it shows that the interface state increases significantly after HTGB stress. The physical mechanism of the degradation behavior could be attributed to electromigration and the formation of new traps at p-GaN layer, AlGaN barrier, p-GaN/AlGaN interface, and AlGaN/GaN interface. This work could be a useful reference for the study of AlGaN/GaN HEMTs.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114881066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-15DOI: 10.1109/PHM-Nanjing52125.2021.9612837
Jingyuan Liu, Jiaxing Hu, Ping Wang, Xin-Shan Cao
Thin plate structures were widely used in aircraft and aero engines, such as compressor blades, engine casing, wall panels, etc., and their vibration problems were serious. The study found that the surface treatment will affect the local stiffness, which in turn affects the modal frequency of the structure. Based on the theoretical analysis of local variable stiffness thin plate structure vibration, the effect of surface treatment was simulated and analyzed by ABAQUS through a diamond-shaped thin plate model. The influence of the position of the stiffness variation zone on the modal frequencies for different modal characteristics was studied. The sensitive zone of the frequency variation was obtained. This study provides a theoretical basis for analyzing the effect of surface treatment, and adjusting the modal frequency by surface treatment.
{"title":"The Effect of Surface Treatment in Local Zone on Modal Frequency of Thin Plate Structure","authors":"Jingyuan Liu, Jiaxing Hu, Ping Wang, Xin-Shan Cao","doi":"10.1109/PHM-Nanjing52125.2021.9612837","DOIUrl":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612837","url":null,"abstract":"Thin plate structures were widely used in aircraft and aero engines, such as compressor blades, engine casing, wall panels, etc., and their vibration problems were serious. The study found that the surface treatment will affect the local stiffness, which in turn affects the modal frequency of the structure. Based on the theoretical analysis of local variable stiffness thin plate structure vibration, the effect of surface treatment was simulated and analyzed by ABAQUS through a diamond-shaped thin plate model. The influence of the position of the stiffness variation zone on the modal frequencies for different modal characteristics was studied. The sensitive zone of the frequency variation was obtained. This study provides a theoretical basis for analyzing the effect of surface treatment, and adjusting the modal frequency by surface treatment.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115246551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-15DOI: 10.1109/PHM-Nanjing52125.2021.9613005
N. Jiao, Q. Tang, Shufei Xue, Meng Zhang, Chenhao Xu, X. Yi
This study proposes a maintenance analysis method associated functional structure for complex equipment from aspects of analyzing system maintenance items, conducting functional structure association feature model on qualitative design and quantitative requirements of maintainability, and conducting association analysis among maintenance qualitative factors, quantitative factors and system functional structure features. In order to illustrate the reasonability and engineering applicability, the action systems of special vehicle is taking as an example to conduct maintenance analysis associated functional structure. Finally, the analysis results show that the maintenance qualitative and quantitative design requirements are closely combined with the functional structural features, so that the forward design of maintainability can be operated in skinny system. AU in all, this study not only provides a new research idea for maintenance analysis, but also can be as a typical example to guide the similar problems.
{"title":"A Maintenance Analysis Method Associated Functional Structure for Complex Equipment","authors":"N. Jiao, Q. Tang, Shufei Xue, Meng Zhang, Chenhao Xu, X. Yi","doi":"10.1109/PHM-Nanjing52125.2021.9613005","DOIUrl":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9613005","url":null,"abstract":"This study proposes a maintenance analysis method associated functional structure for complex equipment from aspects of analyzing system maintenance items, conducting functional structure association feature model on qualitative design and quantitative requirements of maintainability, and conducting association analysis among maintenance qualitative factors, quantitative factors and system functional structure features. In order to illustrate the reasonability and engineering applicability, the action systems of special vehicle is taking as an example to conduct maintenance analysis associated functional structure. Finally, the analysis results show that the maintenance qualitative and quantitative design requirements are closely combined with the functional structural features, so that the forward design of maintainability can be operated in skinny system. AU in all, this study not only provides a new research idea for maintenance analysis, but also can be as a typical example to guide the similar problems.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124801653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-15DOI: 10.1109/PHM-Nanjing52125.2021.9612924
Xiaoli Zhao, Jianyong Yao, W. Deng, M. Jia
The distribution of mechanical system health data monitored in the industrial field is imbalanced mainly. To this end, this paper designs a new imbalanced fault diagnosis framework of the mechanical system based on Normalized Conditional Variational Auto-Encoder with Adaptive Focal Loss (NCVAE-AFL). The core of this diagnostic framework is to use the designed NCVAE model to enhance the data’s feature learning ability. The multi-layer sensitive feature vector of the data can be extracted, the generalization performance of the diagnostic model is further improved. Meanwhile, a new Adaptive Focus Loss (AFL) function is designed for NCVAE model, which focuses training on a few samples of health conditions that are difficult to classify and balance the diagnosis difficulty of samples of different categories. Finally, the double-span rotor-bearing system fault simulation experiment platform verifies the effectiveness and superiority of the proposed NCVAE-AFL algorithm and its diagnostic framework.
{"title":"Imbalanced Fault Diagnosis of Bearing-Rotor System via Normalized Conditional Variational Auto-Encoder with Adaptive Focal Loss","authors":"Xiaoli Zhao, Jianyong Yao, W. Deng, M. Jia","doi":"10.1109/PHM-Nanjing52125.2021.9612924","DOIUrl":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612924","url":null,"abstract":"The distribution of mechanical system health data monitored in the industrial field is imbalanced mainly. To this end, this paper designs a new imbalanced fault diagnosis framework of the mechanical system based on Normalized Conditional Variational Auto-Encoder with Adaptive Focal Loss (NCVAE-AFL). The core of this diagnostic framework is to use the designed NCVAE model to enhance the data’s feature learning ability. The multi-layer sensitive feature vector of the data can be extracted, the generalization performance of the diagnostic model is further improved. Meanwhile, a new Adaptive Focus Loss (AFL) function is designed for NCVAE model, which focuses training on a few samples of health conditions that are difficult to classify and balance the diagnosis difficulty of samples of different categories. Finally, the double-span rotor-bearing system fault simulation experiment platform verifies the effectiveness and superiority of the proposed NCVAE-AFL algorithm and its diagnostic framework.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121999514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-15DOI: 10.1109/PHM-Nanjing52125.2021.9612912
M. Hailong, Li Zhen
To predict the bearing residual life by using the characteristic index of vibration signal, the principal component analysis (PCA), the method is proposed to remove the redundancy and correlation between many characteristic indexes, to achieve the purpose of dimensionality reduction. The first principal component is used as the degenerate characteristic quantity to describe the bearing residual life, and the degenerate characteristic sequence is formed. The grey model is trained with the degenerate feature sequence, and the changing trend of the degraded feature series is predicted by the trained grey model. It is verified by the actual life cycle vibration signal of the measured bearing. The results show that the method based on principal component analysis and the grey model can effectively predict the life of bearing.
{"title":"Research on Bearing Life Trend Prediction Method Based on Principal Component Analysis and Grey Model","authors":"M. Hailong, Li Zhen","doi":"10.1109/PHM-Nanjing52125.2021.9612912","DOIUrl":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612912","url":null,"abstract":"To predict the bearing residual life by using the characteristic index of vibration signal, the principal component analysis (PCA), the method is proposed to remove the redundancy and correlation between many characteristic indexes, to achieve the purpose of dimensionality reduction. The first principal component is used as the degenerate characteristic quantity to describe the bearing residual life, and the degenerate characteristic sequence is formed. The grey model is trained with the degenerate feature sequence, and the changing trend of the degraded feature series is predicted by the trained grey model. It is verified by the actual life cycle vibration signal of the measured bearing. The results show that the method based on principal component analysis and the grey model can effectively predict the life of bearing.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121045476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-15DOI: 10.1109/PHM-Nanjing52125.2021.9612884
Zheng Liu, Xutao Yu, Gang Niu
In this paper, the finite element model of permanent magnet synchronous direct drive motor in train traction drive system is established. Based on the mechanism of two types of faults, a fault motor is modeled and simulated, the joint-simulation of motor and circuit is carried. Firstly, according to the actual requirements of the project, the motor model is established based on ANSYS RMxprt module, and the parametric scanning of the model is carried out to realize the structural optimization of the motor. On this basis, the developed model is imported into ANSYS Maxwell module to calculate the electromagnetic field, and two typical faults, demagnetization (caused by current) and eccentric-city, are injected to study the influence of motor fault. Finally, through the joint-simulation with ANSYS Simplorer, the correctness of the model and the feasibility of joint-simulation are verified, which provides a new idea for the research of fault evolution of traction transmission system.
{"title":"Structure optimization design and fault simulation of permanent magnet synchronous direct drive motor","authors":"Zheng Liu, Xutao Yu, Gang Niu","doi":"10.1109/PHM-Nanjing52125.2021.9612884","DOIUrl":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612884","url":null,"abstract":"In this paper, the finite element model of permanent magnet synchronous direct drive motor in train traction drive system is established. Based on the mechanism of two types of faults, a fault motor is modeled and simulated, the joint-simulation of motor and circuit is carried. Firstly, according to the actual requirements of the project, the motor model is established based on ANSYS RMxprt module, and the parametric scanning of the model is carried out to realize the structural optimization of the motor. On this basis, the developed model is imported into ANSYS Maxwell module to calculate the electromagnetic field, and two typical faults, demagnetization (caused by current) and eccentric-city, are injected to study the influence of motor fault. Finally, through the joint-simulation with ANSYS Simplorer, the correctness of the model and the feasibility of joint-simulation are verified, which provides a new idea for the research of fault evolution of traction transmission system.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122509654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：