Pub Date : 2022-10-13DOI: 10.1109/phm-yantai55411.2022.9941769
{"title":"PHM-Yantai 2022 Blank Page","authors":"","doi":"10.1109/phm-yantai55411.2022.9941769","DOIUrl":"https://doi.org/10.1109/phm-yantai55411.2022.9941769","url":null,"abstract":"","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124753286","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 : 2022-10-13DOI: 10.1109/PHM-Yantai55411.2022.9941993
Yu Zhang, Bo Jing, Shenglong Wang, Jinxin Pan, Shaoguang Du, Kai Yang, Qingyi Zhang, Jie Bao, Songling Huang, Xiaojuan Zhang
In actual engineering, the rolling bearing fault samples are small and non-balanced, when the bearing data is unbalanced, the classification of the trained diagnostic model is often inclined to the majority class, which greatly affects the diagnostic accuracy of the minority class. Aiming at the above problems, this paper proposes a fault diagnosis method for generating adversarial network based on conditional deep convolution. Firstly, the bearing vibration signal is converted into a two-dimensional image by using the gram angular field, and then the distribution of the fault data is learned by combining the characteristics of the deep convolutional neural generation adversarial network and the conditional generation adversarial network, and more labeled fault data is generated for the expansion of the fault datasets, and finally the expanded datasets are input into the CNN-SVM diagnostic model. Experimental results show that compared with CGAN, CNN-SVM and other fault diagnosis algorithms, the proposed algorithm can classify bearing faults more accurately.
{"title":"Fault Diagnosis Based on C-DCGAN for Rolling Bearing","authors":"Yu Zhang, Bo Jing, Shenglong Wang, Jinxin Pan, Shaoguang Du, Kai Yang, Qingyi Zhang, Jie Bao, Songling Huang, Xiaojuan Zhang","doi":"10.1109/PHM-Yantai55411.2022.9941993","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9941993","url":null,"abstract":"In actual engineering, the rolling bearing fault samples are small and non-balanced, when the bearing data is unbalanced, the classification of the trained diagnostic model is often inclined to the majority class, which greatly affects the diagnostic accuracy of the minority class. Aiming at the above problems, this paper proposes a fault diagnosis method for generating adversarial network based on conditional deep convolution. Firstly, the bearing vibration signal is converted into a two-dimensional image by using the gram angular field, and then the distribution of the fault data is learned by combining the characteristics of the deep convolutional neural generation adversarial network and the conditional generation adversarial network, and more labeled fault data is generated for the expansion of the fault datasets, and finally the expanded datasets are input into the CNN-SVM diagnostic model. Experimental results show that compared with CGAN, CNN-SVM and other fault diagnosis algorithms, the proposed algorithm can classify bearing faults more accurately.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126785572","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 studies the fault diagnosis system based on the aeroengine knowledge base, which covers the historical fault data, fault mode data, fault characteristic data of turboshaft/turboprop aero-engine, as well as diagnostic reasoning composed of expert knowledge base and decision rule base. In practical applications, it can assist the crew to troubleshoot the engine. In the current maintenance work, the troubleshooting of the engine is carried out by the maintenance personnel relying on the accumulated experience. With the accumulation of experience, the accuracy of troubleshooting is gradually improved. However, the sharing of personal experiences is poor. With the update of maintenance personnel, the maintenance capability will be reduced and the knowledge wealth will be wasted. The expert system can store and manage these experiences, to quickly realize the aero-engine fault diagnosis.
{"title":"Research on Fault Diagnosis System Based on Aeroengine Knowledge Base","authors":"Yun Wang, Hua Ming, Guigang Zhang, Xing Ai, Fujian Xu, Benwang Li","doi":"10.1109/phm-yantai55411.2022.9942160","DOIUrl":"https://doi.org/10.1109/phm-yantai55411.2022.9942160","url":null,"abstract":"This paper studies the fault diagnosis system based on the aeroengine knowledge base, which covers the historical fault data, fault mode data, fault characteristic data of turboshaft/turboprop aero-engine, as well as diagnostic reasoning composed of expert knowledge base and decision rule base. In practical applications, it can assist the crew to troubleshoot the engine. In the current maintenance work, the troubleshooting of the engine is carried out by the maintenance personnel relying on the accumulated experience. With the accumulation of experience, the accuracy of troubleshooting is gradually improved. However, the sharing of personal experiences is poor. With the update of maintenance personnel, the maintenance capability will be reduced and the knowledge wealth will be wasted. The expert system can store and manage these experiences, to quickly realize the aero-engine fault diagnosis.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129105326","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 : 2022-10-13DOI: 10.1109/PHM-Yantai55411.2022.9941861
Zhijun Liu, Di Zhang
In order to make the UAV equipment track the ground target accurately in the flight process, this paper proposes a UAV-To-Ground target robust tracking algorithm based on Two-Way CNN. The algorithm is based on two-way CNN architecture, and detects the visual target of UAV after solving the surf feature of the ground target image. According to the linear correction expression of the tracking parameters, the algorithm determines the performance intensity of the non maximum suppression effect of the tracking coefficient on UAV ground target parameters, and then combines the known tracking coefficient and the loss function to realize the tracking of the UAV ground target. The experimental results show that under the effect of the dual CNN network architecture, the tracking accuracy of the UAV equipment for the established ground target during flight is significantly improved, which can meet the actual application requirements.
{"title":"UAV-to-Ground Target Robust Tracking Algorithm Based on Two-Way CNN","authors":"Zhijun Liu, Di Zhang","doi":"10.1109/PHM-Yantai55411.2022.9941861","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9941861","url":null,"abstract":"In order to make the UAV equipment track the ground target accurately in the flight process, this paper proposes a UAV-To-Ground target robust tracking algorithm based on Two-Way CNN. The algorithm is based on two-way CNN architecture, and detects the visual target of UAV after solving the surf feature of the ground target image. According to the linear correction expression of the tracking parameters, the algorithm determines the performance intensity of the non maximum suppression effect of the tracking coefficient on UAV ground target parameters, and then combines the known tracking coefficient and the loss function to realize the tracking of the UAV ground target. The experimental results show that under the effect of the dual CNN network architecture, the tracking accuracy of the UAV equipment for the established ground target during flight is significantly improved, which can meet the actual application requirements.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121166654","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 : 2022-10-13DOI: 10.1109/PHM-Yantai55411.2022.9941740
Ying Song, Youmei Zeng, Panke Li
Aiming at the poor effect of badminton trajectory tracking and positioning, a badminton trajectory tracking and positioning method based on machine vision is proposed. Combine machine vision technology to collect and recognize the characteristic image of badminton trajectory, calculate the change route of badminton trajectory based on the force characteristics of badminton, and finally realize the goal of effective tracking and accurate positioning of badminton trajectory. Finally, experiments show that the badminton trajectory tracking and positioning method based on machine vision has high practicability and fully meets the research requirements.
{"title":"Badminton Trajectory Accurate Tracking and Positioning Method Based on Machine Vision","authors":"Ying Song, Youmei Zeng, Panke Li","doi":"10.1109/PHM-Yantai55411.2022.9941740","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9941740","url":null,"abstract":"Aiming at the poor effect of badminton trajectory tracking and positioning, a badminton trajectory tracking and positioning method based on machine vision is proposed. Combine machine vision technology to collect and recognize the characteristic image of badminton trajectory, calculate the change route of badminton trajectory based on the force characteristics of badminton, and finally realize the goal of effective tracking and accurate positioning of badminton trajectory. Finally, experiments show that the badminton trajectory tracking and positioning method based on machine vision has high practicability and fully meets the research requirements.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114217358","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 : 2022-10-13DOI: 10.1109/PHM-Yantai55411.2022.9942220
Ma Jingwei, Wei Fang, Cao Ming
Kalman Filter and Extended Kalman Filter (EKF) have been widely applied for aero engine performance assessment. Aiming at improving upon the Kalman Filter based methods, this investigation explores applying Unscented Kalman Filter (UKF) algorithm for aero engine performance degradation evaluation. Improvements on the UKF algorithm are made for optimal performance, by adding a factor or adjusting the prediction variance matrix, as well as finding the optimal distribution of Sigma points. The simulation result shows that compared with EKF algorithm and with multi-dimensional degradation, the UKF algorithm proposed in this study improves the performance degradation assessment error by a large margin(33%), while suffering from prolonged numerical time and sensitivity to the initial error.
{"title":"Application of Unscented Kalman Filter Algorithm for Assessing the Aero Engine Performance Degradation","authors":"Ma Jingwei, Wei Fang, Cao Ming","doi":"10.1109/PHM-Yantai55411.2022.9942220","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9942220","url":null,"abstract":"Kalman Filter and Extended Kalman Filter (EKF) have been widely applied for aero engine performance assessment. Aiming at improving upon the Kalman Filter based methods, this investigation explores applying Unscented Kalman Filter (UKF) algorithm for aero engine performance degradation evaluation. Improvements on the UKF algorithm are made for optimal performance, by adding a factor or adjusting the prediction variance matrix, as well as finding the optimal distribution of Sigma points. The simulation result shows that compared with EKF algorithm and with multi-dimensional degradation, the UKF algorithm proposed in this study improves the performance degradation assessment error by a large margin(33%), while suffering from prolonged numerical time and sensitivity to the initial error.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114228255","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 : 2022-10-13DOI: 10.1109/phm-yantai55411.2022.9941927
Jinjun Lu, Mengling Wu, Gang Niu, Liujing Xiong
With the continuous development of Prognostic and Health Management (PHM) technology, driven by emerging industrial information and industrial intelligence, digital twin technology has become an emerging research hotspot in the field of smart manufacturing and smart maintenance. Aiming at problems such as the loss of fault data, complex physics, and unknown failure mechanism in the PHM of EPLA electro-pneumatic changeover valve (EP valve), this paper proposes an EP valve degradation prediction scheme based on digital twin (DT) technology. The program is mainly divided into three parts: physical entity module, virtual simulation module and degradation prediction module. First, this article obtains the physical entity information required by the DT process through the accelerated degradation test of the EP valve electromagnet, and discusses the failure mechanism of the electromagnet. Then, this paper obtains the model simulation information needed by the DT process through EP valve virtual simulation modeling and dynamic degradation simulation. Finally, this paper proposes an information interaction method between physical entity information and model simulation information, which provides a theoretical basis for degradation prediction.
{"title":"Degradation Prediction of EPLA Electro-Pneumatic Changeover Valve","authors":"Jinjun Lu, Mengling Wu, Gang Niu, Liujing Xiong","doi":"10.1109/phm-yantai55411.2022.9941927","DOIUrl":"https://doi.org/10.1109/phm-yantai55411.2022.9941927","url":null,"abstract":"With the continuous development of Prognostic and Health Management (PHM) technology, driven by emerging industrial information and industrial intelligence, digital twin technology has become an emerging research hotspot in the field of smart manufacturing and smart maintenance. Aiming at problems such as the loss of fault data, complex physics, and unknown failure mechanism in the PHM of EPLA electro-pneumatic changeover valve (EP valve), this paper proposes an EP valve degradation prediction scheme based on digital twin (DT) technology. The program is mainly divided into three parts: physical entity module, virtual simulation module and degradation prediction module. First, this article obtains the physical entity information required by the DT process through the accelerated degradation test of the EP valve electromagnet, and discusses the failure mechanism of the electromagnet. Then, this paper obtains the model simulation information needed by the DT process through EP valve virtual simulation modeling and dynamic degradation simulation. Finally, this paper proposes an information interaction method between physical entity information and model simulation information, which provides a theoretical basis for degradation prediction.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114229248","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 : 2022-10-13DOI: 10.1109/PHM-Yantai55411.2022.9941783
Rongzheng Lu, Zhongxun Wang
Base on the working principle of active omnidirectional sonobuoy, this paper analyzes the ranging and speed measurement based on the modeling of single active omnidirectional sonobuoy and the positioning algorithm of multiple active omnidirectional sonobuoys. The reason for the error in the algorithm and the method to reduce the error are given. A calculation method of the approximate course and speed of the target based on the active omnidirectional sonobuoy array is deduced. Designed and implemented a simulation software system for active omnidirectional sonobuoy detection, and simulation experiments are carried out. The results show that the system can achieve the target information solution, and the error is within the acceptable range.
{"title":"Design and Implementation of Active Omnidirectional Sonobuoy Simulation System","authors":"Rongzheng Lu, Zhongxun Wang","doi":"10.1109/PHM-Yantai55411.2022.9941783","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9941783","url":null,"abstract":"Base on the working principle of active omnidirectional sonobuoy, this paper analyzes the ranging and speed measurement based on the modeling of single active omnidirectional sonobuoy and the positioning algorithm of multiple active omnidirectional sonobuoys. The reason for the error in the algorithm and the method to reduce the error are given. A calculation method of the approximate course and speed of the target based on the active omnidirectional sonobuoy array is deduced. Designed and implemented a simulation software system for active omnidirectional sonobuoy detection, and simulation experiments are carried out. The results show that the system can achieve the target information solution, and the error is within the acceptable range.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114622880","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 : 2022-10-13DOI: 10.1109/PHM-Yantai55411.2022.9942170
Yue Yu, Y. Liu
Football teaching videos have high dynamic, which leads to poor detection performance of football teaching violations. In order to solve this problem, an assistant detection method of soccer teaching violations based on binocular vision is proposed. Using binocular vision technology to collect football teaching images and extract their image features. Through the collected image texture features to achieve image matching, determine the key frame image, and realize the auxiliary detection of football teaching violations. The experimental results show that this method can obtain accurate football teaching target positioning results, realize the accurate detection of football teaching violations, and provide reference value for the future football teaching.
{"title":"Auxiliary Detection Method of Illegal Actions in Football Teaching Based on Binocular Vision","authors":"Yue Yu, Y. Liu","doi":"10.1109/PHM-Yantai55411.2022.9942170","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9942170","url":null,"abstract":"Football teaching videos have high dynamic, which leads to poor detection performance of football teaching violations. In order to solve this problem, an assistant detection method of soccer teaching violations based on binocular vision is proposed. Using binocular vision technology to collect football teaching images and extract their image features. Through the collected image texture features to achieve image matching, determine the key frame image, and realize the auxiliary detection of football teaching violations. The experimental results show that this method can obtain accurate football teaching target positioning results, realize the accurate detection of football teaching violations, and provide reference value for the future football teaching.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124302089","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 : 2022-10-13DOI: 10.1109/PHM-Yantai55411.2022.9942141
Weijun Jiang, X. Ye, Qisen Sun, Bokai Zheng, G. Zhai
Aiming at the problems that the reliability prediction simulation does not consider both soft faults (performance degradation) and hard faults (function failure) of devices, and the difficulty of simulation of Analog/Mixed Signal (AMS) circuits, this paper proposes a simulation method for reliability prediction of AMS electronic equipment. Considering soft faults and hard faults, the digital device model is established through the Hardware Description Language (HDL) model and the Input/Output Buffer Information Specification (IBIS) model, and the analog device model is established through the Hardware Description Language-Analog/Mixed Signal (HDL-AMS) model. Finally, the reliable life of the electronic equipment is obtained by analyzing the simulation results. This paper uses a typical AMS communication circuit as an example to demonstrate the practicability of the proposed method.
{"title":"Prediction Simulation Method for Analog/Mixed Signal Electronic Equipment Considering Soft and Hard Faults","authors":"Weijun Jiang, X. Ye, Qisen Sun, Bokai Zheng, G. Zhai","doi":"10.1109/PHM-Yantai55411.2022.9942141","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9942141","url":null,"abstract":"Aiming at the problems that the reliability prediction simulation does not consider both soft faults (performance degradation) and hard faults (function failure) of devices, and the difficulty of simulation of Analog/Mixed Signal (AMS) circuits, this paper proposes a simulation method for reliability prediction of AMS electronic equipment. Considering soft faults and hard faults, the digital device model is established through the Hardware Description Language (HDL) model and the Input/Output Buffer Information Specification (IBIS) model, and the analog device model is established through the Hardware Description Language-Analog/Mixed Signal (HDL-AMS) model. Finally, the reliable life of the electronic equipment is obtained by analyzing the simulation results. This paper uses a typical AMS communication circuit as an example to demonstrate the practicability of the proposed method.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126329727","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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