Yang Liu, Jiahui Zhang, Jiangquan Liu, Yuan Cao, C. Zhao, Jun Shi, Li Zhou
With the rapid development of global electric transmission technology, the problem of the heat dissipation is becoming more and more prominent for vehicle high-power controllers, which seriously affects the normal work and the reliability and then becomes an inevitable bottleneck problem for the development of controllers. Based on the heat dissipation problem of high-power electric drive controllers, a cold plate of controller with high power and high heat flux is developed to meet vehicular environmental conditions through the structure design, performance optimization, simulation and experimental research method of combining. The error between performance test and simulation of cold plate is controlled at about 3%, which verifies the feasibility and effectiveness of the design, optimization method and the simulation calculation method of cold plate and also provides the corresponding technical support and technical reserves for electric vehicles.
{"title":"Study on cold plate of high power electric drive controller","authors":"Yang Liu, Jiahui Zhang, Jiangquan Liu, Yuan Cao, C. Zhao, Jun Shi, Li Zhou","doi":"10.1109/SDPC.2019.00056","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00056","url":null,"abstract":"With the rapid development of global electric transmission technology, the problem of the heat dissipation is becoming more and more prominent for vehicle high-power controllers, which seriously affects the normal work and the reliability and then becomes an inevitable bottleneck problem for the development of controllers. Based on the heat dissipation problem of high-power electric drive controllers, a cold plate of controller with high power and high heat flux is developed to meet vehicular environmental conditions through the structure design, performance optimization, simulation and experimental research method of combining. The error between performance test and simulation of cold plate is controlled at about 3%, which verifies the feasibility and effectiveness of the design, optimization method and the simulation calculation method of cold plate and also provides the corresponding technical support and technical reserves for electric vehicles.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132681489","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}
Hong-Mei Yan, H. Mu, X. Yi, Yuan-Yuan Yang, Guang-Liang Chen
A step-by-step fault diagnosis method based on Empirical Mode Decomposition (EMD) combined with Random Forest algorithm was proposed for actual requirements of rolling bearing vibration fault diagnosis. Firstly, the preliminary fault monitoring was carried out, and a Linear Support Vector Machine model was established by extracting the Permutation Entropy of vibration signals as characteristic parameters to judge whether the bearing was faulty or not. Then, the fault location identification and the fault degree determination were carried out, and high-dimensional characteristic parameters in time domain, frequency domain and time-frequency domain are respectively extracted as inputs of the Random Forest algorithm. Finally, through the step-by-step diagnostic test of rolling bearing vibration data, the results show that each step of diagnosis can achieve 100% diagnostic accuracy and appropriate training time, which proves that EMD and Random Forest have good effect on step-by-step fault diagnosis of rolling bearing.
{"title":"Step-by-step Fault Diagnosis of Rolling Bearings Based on EMD and Random Forest","authors":"Hong-Mei Yan, H. Mu, X. Yi, Yuan-Yuan Yang, Guang-Liang Chen","doi":"10.1109/SDPC.2019.00063","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00063","url":null,"abstract":"A step-by-step fault diagnosis method based on Empirical Mode Decomposition (EMD) combined with Random Forest algorithm was proposed for actual requirements of rolling bearing vibration fault diagnosis. Firstly, the preliminary fault monitoring was carried out, and a Linear Support Vector Machine model was established by extracting the Permutation Entropy of vibration signals as characteristic parameters to judge whether the bearing was faulty or not. Then, the fault location identification and the fault degree determination were carried out, and high-dimensional characteristic parameters in time domain, frequency domain and time-frequency domain are respectively extracted as inputs of the Random Forest algorithm. Finally, through the step-by-step diagnostic test of rolling bearing vibration data, the results show that each step of diagnosis can achieve 100% diagnostic accuracy and appropriate training time, which proves that EMD and Random Forest have good effect on step-by-step fault diagnosis of rolling bearing.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131071153","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}
The load simulator simulates the aerodynamic loads on actuators in flight in a laboratory. It is used to evaluate whether the performance of actuation system meets the aircraft requirements. The maneuverability and control precision of aircraft are attracting more and more attention with the development of aviation industry. Because of being a force closed-loop system, the load simulator control system is seriously influenced by the redundant force. Taking aim at this problem, this paper establishes a mathematical model of the control system and proposes using fuzzy adaptive PID control strategy to eliminate redundant force. Through the computer simulation analysis, it was demonstrated that this method is feasible in theory. The experimental results also demonstrated that the fuzzy adaptive PID control strategy can eliminate redundant force efficiently.
{"title":"Research on Load Simulator Control Methods for Aircraft Actuation System","authors":"Yong Zhou, Yubo Zhang, Jiakuan Gao","doi":"10.1109/SDPC.2019.00064","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00064","url":null,"abstract":"The load simulator simulates the aerodynamic loads on actuators in flight in a laboratory. It is used to evaluate whether the performance of actuation system meets the aircraft requirements. The maneuverability and control precision of aircraft are attracting more and more attention with the development of aviation industry. Because of being a force closed-loop system, the load simulator control system is seriously influenced by the redundant force. Taking aim at this problem, this paper establishes a mathematical model of the control system and proposes using fuzzy adaptive PID control strategy to eliminate redundant force. Through the computer simulation analysis, it was demonstrated that this method is feasible in theory. The experimental results also demonstrated that the fuzzy adaptive PID control strategy can eliminate redundant force efficiently.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131195210","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}
The traffic signal system plays an important role in smooth ongoing of traffic. The working of signal system will be based on the amount of traffic coming towards or passing across the junction. There must be some sort of communication needed to let the signal system know about the number of vehicles driving towards the signal point. Whenever there is a communication especially wireless, the chances of an attacker in the middle of communication can be more. To avoid attacks of the kind like same signal lasting for more time or same signal on right and left turns at the same time which might leads to vehicle crashes are to be detected and rectified for better working of the road systems. In this paper, we focus on detecting those attacks using different machine learning concepts and analyzed the results for better understanding of algorithms and their role in detecting attacks. We are applying the models on a real-time dataset and results are analyzed. Finally, the paper results out the best clustering algorithm to detect the attacks in traffic signal system data and models are compared under 4 different parameters.
{"title":"Clustering Methods for Identification of Attacks in IoT Based Traffic Signal System","authors":"Yunpeng Zhang, Chethana Dukkipati, Liang-Chieh Cheng","doi":"10.1109/SDPC.2019.00013","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00013","url":null,"abstract":"The traffic signal system plays an important role in smooth ongoing of traffic. The working of signal system will be based on the amount of traffic coming towards or passing across the junction. There must be some sort of communication needed to let the signal system know about the number of vehicles driving towards the signal point. Whenever there is a communication especially wireless, the chances of an attacker in the middle of communication can be more. To avoid attacks of the kind like same signal lasting for more time or same signal on right and left turns at the same time which might leads to vehicle crashes are to be detected and rectified for better working of the road systems. In this paper, we focus on detecting those attacks using different machine learning concepts and analyzed the results for better understanding of algorithms and their role in detecting attacks. We are applying the models on a real-time dataset and results are analyzed. Finally, the paper results out the best clustering algorithm to detect the attacks in traffic signal system data and models are compared under 4 different parameters.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132360487","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}
This paper mainly studies the model-based test case generation method for the integrated modular avionics blueprint system. The blueprint system is complex and highly coupled, and any change in configuration information may cause errors in the aircraft avionics system. The configuration needs to meet various logical constraints in the system integration which including time scheduling, space storage, space-time coupling, etc., and conduct targeted tests. The architecture analysis and design language combined with the flow can build a blueprint system model and contain the information needed for testing. Develop appropriate test selection criteria and test case generation algorithms based on test requirements to generate test cases based on test models.
{"title":"Research on IMA Blueprint Test Case Generation Method","authors":"Jiapan Fu, Kui Li","doi":"10.1109/SDPC.2019.00090","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00090","url":null,"abstract":"This paper mainly studies the model-based test case generation method for the integrated modular avionics blueprint system. The blueprint system is complex and highly coupled, and any change in configuration information may cause errors in the aircraft avionics system. The configuration needs to meet various logical constraints in the system integration which including time scheduling, space storage, space-time coupling, etc., and conduct targeted tests. The architecture analysis and design language combined with the flow can build a blueprint system model and contain the information needed for testing. Develop appropriate test selection criteria and test case generation algorithms based on test requirements to generate test cases based on test models.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"51 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127996347","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}
In order to meet the requirements of high reliability, strong confrontation and intelligent development of electronic information systems in the land battlefield, a general framework of intelligent testing and verification technology for electronic information systems in the land battlefield is proposed in this paper, which breaks through key technologies such as group collaborative testing based on VR/AR experience, and constructs an intelligent testing and verification platform for electronic information systems based on virtual and real integration, thus laying a research foundation for further improving the operational efficiency of electronic information systems in the land battlefield.
{"title":"Construction of Group Collaborative Testing Environment Based on VR/AR Experience","authors":"Xue Shi, Xiwen Shang","doi":"10.1109/SDPC.2019.00197","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00197","url":null,"abstract":"In order to meet the requirements of high reliability, strong confrontation and intelligent development of electronic information systems in the land battlefield, a general framework of intelligent testing and verification technology for electronic information systems in the land battlefield is proposed in this paper, which breaks through key technologies such as group collaborative testing based on VR/AR experience, and constructs an intelligent testing and verification platform for electronic information systems based on virtual and real integration, thus laying a research foundation for further improving the operational efficiency of electronic information systems in the land battlefield.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121163754","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}
The solution to the low frequency noise control by active noise reduction is discussed, and the effects of vibration control of structure acoustic through the analysis of the principle of active noise reduction and the active vibration control measures of structure acoustic are described in this paper. The structural plate is taking as an example to study the degree of noise radiation reduction in the case of adding a secondary vibration source based on simulation, which can explore new solutions for noise control.
{"title":"Study on Active Vibration Control Simulation of Structure Acoustic","authors":"Zhongliang Wei, Liang Ling, Sijuan Zheng, Wei Hu","doi":"10.1109/SDPC.2019.00188","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00188","url":null,"abstract":"The solution to the low frequency noise control by active noise reduction is discussed, and the effects of vibration control of structure acoustic through the analysis of the principle of active noise reduction and the active vibration control measures of structure acoustic are described in this paper. The structural plate is taking as an example to study the degree of noise radiation reduction in the case of adding a secondary vibration source based on simulation, which can explore new solutions for noise control.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128936947","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}
In this study, a method to convert the position changes among light spots into displacement values by using digital image processing is proposed. Considering the precision and practical engineering environment, light spots are produced by an industrial laser source, and industrial digital camera is used as sensor to collect images with tiny displacements of target. The image binarization as one of digital image processing techniques is applied to the algorithm developed, and the least square fitting is used to achieve the transformation from image information to displacement information. Several simulation experiments and data processing were carried out to validate this method.
{"title":"Displacement Measurement Based on Computer Vision","authors":"Ze Sheng, Yiwei Li, Zongkang Li, Zhiliang Liu","doi":"10.1109/SDPC.2019.00087","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00087","url":null,"abstract":"In this study, a method to convert the position changes among light spots into displacement values by using digital image processing is proposed. Considering the precision and practical engineering environment, light spots are produced by an industrial laser source, and industrial digital camera is used as sensor to collect images with tiny displacements of target. The image binarization as one of digital image processing techniques is applied to the algorithm developed, and the least square fitting is used to achieve the transformation from image information to displacement information. Several simulation experiments and data processing were carried out to validate this method.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129297040","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}
The rise of UAV has made UAV play a major role in various industries, especially in place of manpower to solve difficult problems such as complex terrain detection and on-site monitoring in disaster areas. The pictures taken by the UAV are spliced to realize the global display of the scene, which is convenient for analysis and research. The integrity and clarity of image stitching depends on the performance of the stitching algorithm. The key to image registration and stitching is the extraction and matching of feature points. The article compares and analyzes the traditional three feature point (key-point) extraction algorithms. The article summarizes their advantages and disadvantages and scope of application. In this paper, SIFT, SURF and ORB algorithms were used respectively to extract feature points from the two images. Then, the nearest neighbor matching method was used to select the optimal matching points to remove the pseudo-matching points and improve the matching accuracy. After image registration, the composite image is prone to splicing gaps and brightness differences due to error accumulation, color differences, and the like. Therefore, in order to make the final panoramic image better, it is more necessary to perform image fusion after image registration processing, correct the difference, and eliminate the stitching gap. In this paper, the improved ORB algorithm combined with the weighted average fusion algorithm is used to achieve smooth transition of the two images. The improved algorithm time is reduced and the efficiency is significantly improved. The experimental results also show that the weighted average algorithm has high effectiveness and practicability in image fusion.
{"title":"Research on Aerial Image Stitching Technology","authors":"Ruirui Ma, Chunlin Zhang, Qing Guo, Fangyi Wan","doi":"10.1109/SDPC.2019.00048","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00048","url":null,"abstract":"The rise of UAV has made UAV play a major role in various industries, especially in place of manpower to solve difficult problems such as complex terrain detection and on-site monitoring in disaster areas. The pictures taken by the UAV are spliced to realize the global display of the scene, which is convenient for analysis and research. The integrity and clarity of image stitching depends on the performance of the stitching algorithm. The key to image registration and stitching is the extraction and matching of feature points. The article compares and analyzes the traditional three feature point (key-point) extraction algorithms. The article summarizes their advantages and disadvantages and scope of application. In this paper, SIFT, SURF and ORB algorithms were used respectively to extract feature points from the two images. Then, the nearest neighbor matching method was used to select the optimal matching points to remove the pseudo-matching points and improve the matching accuracy. After image registration, the composite image is prone to splicing gaps and brightness differences due to error accumulation, color differences, and the like. Therefore, in order to make the final panoramic image better, it is more necessary to perform image fusion after image registration processing, correct the difference, and eliminate the stitching gap. In this paper, the improved ORB algorithm combined with the weighted average fusion algorithm is used to achieve smooth transition of the two images. The improved algorithm time is reduced and the efficiency is significantly improved. The experimental results also show that the weighted average algorithm has high effectiveness and practicability in image fusion.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128604352","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}
Based on the development and research status of Prognostics and Health Management (PHM) technology, the difficulties and key technologies of PHM technology for tank gun control system are analyzed. The typical fault types and measured signals of the gun control system are discussed and analyzed. According to the technical characteristics and maintenance requirements of the gun control system, the main elements of PHM architecture are briefly discussed in this paper. Several methods of PHM and prediction model are summarized. Then, an expert system structure and application prospect is presented.
{"title":"Research on Prognostics and Health Management of Tank Gun Control System","authors":"Xuetao Wang, Jing Xu, Yang Lei, Lina Yang","doi":"10.1109/SDPC.2019.00046","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00046","url":null,"abstract":"Based on the development and research status of Prognostics and Health Management (PHM) technology, the difficulties and key technologies of PHM technology for tank gun control system are analyzed. The typical fault types and measured signals of the gun control system are discussed and analyzed. According to the technical characteristics and maintenance requirements of the gun control system, the main elements of PHM architecture are briefly discussed in this paper. Several methods of PHM and prediction model are summarized. Then, an expert system structure and application prospect is presented.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129251871","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}
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