Pub Date : 2022-10-13DOI: 10.1109/phm-yantai55411.2022.9942083
Tengfei Zhang, Guanghao Ren, H. Ming, Guigang Zhang, Jian Wang
Digital twins have received extensive attention in recent years. Digital twin technology is the continuation and expansion of human ability to understand and transform the world. This paper first analyzes and sorts out the origin of digital twin technology and the application framework of digital twin technology in the field of complex equipment operation and maintenance. The related supporting technologies of digital twin are sorted out. Then a data-driven industrial equipment digital twin construction and maintenance method framework is proposed. Finally, based on the above research, an example software of rail transit health management based on digital twin is developed. This paper makes a preliminary exploration on the application of future digital twin technology in the field of rail vehicle health management.
{"title":"Application Exploration of Digital Twin in Rail Transit Health Management","authors":"Tengfei Zhang, Guanghao Ren, H. Ming, Guigang Zhang, Jian Wang","doi":"10.1109/phm-yantai55411.2022.9942083","DOIUrl":"https://doi.org/10.1109/phm-yantai55411.2022.9942083","url":null,"abstract":"Digital twins have received extensive attention in recent years. Digital twin technology is the continuation and expansion of human ability to understand and transform the world. This paper first analyzes and sorts out the origin of digital twin technology and the application framework of digital twin technology in the field of complex equipment operation and maintenance. The related supporting technologies of digital twin are sorted out. Then a data-driven industrial equipment digital twin construction and maintenance method framework is proposed. Finally, based on the above research, an example software of rail transit health management based on digital twin is developed. This paper makes a preliminary exploration on the application of future digital twin technology in the field of rail vehicle health management.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"31 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":"115393115","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-yantai55411.2022.9941842
Gang Li, Haijuan Fu, Yaowen Sun, Yong Zhang
In the monitoring of students’ online learning behavior, the accurate capture rate of learning behavior has been low due to the complex actions of students. An intelligent monitoring algorithm of students’ online learning behavior based on user portraits is designed. This paper collects student data from five aspects: demographic attributes, academic attributes, behavior habits, interests and hobbies, and psychological attributes, and constructs student user portraits. The deep perception model of online learning behavior is designed from two levels of face recognition and emotion perception to implement the deep perception of students’ online learning behavior. According to the perception results, the online learning behavior is monitored intelligently through three stages: before learning, during learning and after learning, so as to realize the intelligent monitoring of students’ online learning behavior. The algorithm is tested. The test results show that the designed algorithm has a high accurate capture rate for learning behavior of all grades, and the designed algorithm has a high learning efficiency and a good learning effect.
{"title":"Intelligent Stable Monitoring Algorithm of Students' Online Learning Behavior Based on User Portrait","authors":"Gang Li, Haijuan Fu, Yaowen Sun, Yong Zhang","doi":"10.1109/phm-yantai55411.2022.9941842","DOIUrl":"https://doi.org/10.1109/phm-yantai55411.2022.9941842","url":null,"abstract":"In the monitoring of students’ online learning behavior, the accurate capture rate of learning behavior has been low due to the complex actions of students. An intelligent monitoring algorithm of students’ online learning behavior based on user portraits is designed. This paper collects student data from five aspects: demographic attributes, academic attributes, behavior habits, interests and hobbies, and psychological attributes, and constructs student user portraits. The deep perception model of online learning behavior is designed from two levels of face recognition and emotion perception to implement the deep perception of students’ online learning behavior. According to the perception results, the online learning behavior is monitored intelligently through three stages: before learning, during learning and after learning, so as to realize the intelligent monitoring of students’ online learning behavior. The algorithm is tested. The test results show that the designed algorithm has a high accurate capture rate for learning behavior of all grades, and the designed algorithm has a high learning efficiency and a good learning effect.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"37 2 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":"124267299","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-Yantai55411.2022.9941850
Di Song, Tianchi Ma, Junxian Shen, Feiyun Xu
Nowadays, acoustic sensors have been widely applied for crack detection of compressor blades. As the accuracy is mainly affected by signal quality, the optimal sensor placement (OSP) is significant for crack detection. To search the OSP for reliable signals, the multi-objective acoustic sensor optimization method is proposed to detect crack of compressor blade under variable working conditions. First, a multi-objective function is constructed based on comprehensive consideration of signal quality and sensor cost. Furtherly, the placement and number of acoustic sensors are optimized by multi-objective genetic algorithm. Finally, the long-short term memory network is utilized to fuse the reliable acoustic signals on feature-level, which can detect the crack under different working conditions. The compressor experiments are implemented to test the proposed method. After multi-objective optimization, two acoustic sensors at optimal placement are used to detect crack of five lengths. It can reach average accuracy of 97.74% under four working conditions. Comparing with other number and placement of acoustic sensors, the advantage of the proposed method is validated for crack detection with high accuracy and low sensor cost.
{"title":"Optimal Sensor Placement of Acoustic Sensor for Compressor Blade Crack Detection based on Multi-objective Optimization","authors":"Di Song, Tianchi Ma, Junxian Shen, Feiyun Xu","doi":"10.1109/PHM-Yantai55411.2022.9941850","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9941850","url":null,"abstract":"Nowadays, acoustic sensors have been widely applied for crack detection of compressor blades. As the accuracy is mainly affected by signal quality, the optimal sensor placement (OSP) is significant for crack detection. To search the OSP for reliable signals, the multi-objective acoustic sensor optimization method is proposed to detect crack of compressor blade under variable working conditions. First, a multi-objective function is constructed based on comprehensive consideration of signal quality and sensor cost. Furtherly, the placement and number of acoustic sensors are optimized by multi-objective genetic algorithm. Finally, the long-short term memory network is utilized to fuse the reliable acoustic signals on feature-level, which can detect the crack under different working conditions. The compressor experiments are implemented to test the proposed method. After multi-objective optimization, two acoustic sensors at optimal placement are used to detect crack of five lengths. It can reach average accuracy of 97.74% under four working conditions. Comparing with other number and placement of acoustic sensors, the advantage of the proposed method is validated for crack detection with high accuracy and low sensor cost.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"183 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":"114880006","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-Yantai55411.2022.9941921
Chen Zhikuan, Su Yufeng
k-out-of-n voting systems is widely used in industrial and military fields, and is very common in electronic, mechanical, computer and complex large-scale systems, as a redundancy design to improve the reliability of the system. Two-dimensional voting system is a special form with planar voting logic structure, which is widely used in engineering practice in safety monitoring system, electronic device design, pattern monitoring and other fields. However, there is no analytical equation to calculate the reliability of the system in the existing researches on two-dimensional voting system. Under considering the actual demand in engineering, based on the method of minimum cut sets and the method of minimization algorithm, the failure logic of the two-dimensional voting system is modeled and analyzed. Finally, the reliability calculation equation of two-dimensional voting system in typical state is established, and verified by an example of small-scale system. The results show that the calculated results are in good agreement with the simulation results when the system working time is short.
{"title":"Reliability of Two-dimensional Consecutive Voting System","authors":"Chen Zhikuan, Su Yufeng","doi":"10.1109/PHM-Yantai55411.2022.9941921","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9941921","url":null,"abstract":"k-out-of-n voting systems is widely used in industrial and military fields, and is very common in electronic, mechanical, computer and complex large-scale systems, as a redundancy design to improve the reliability of the system. Two-dimensional voting system is a special form with planar voting logic structure, which is widely used in engineering practice in safety monitoring system, electronic device design, pattern monitoring and other fields. However, there is no analytical equation to calculate the reliability of the system in the existing researches on two-dimensional voting system. Under considering the actual demand in engineering, based on the method of minimum cut sets and the method of minimization algorithm, the failure logic of the two-dimensional voting system is modeled and analyzed. Finally, the reliability calculation equation of two-dimensional voting system in typical state is established, and verified by an example of small-scale system. The results show that the calculated results are in good agreement with the simulation results when the system working time is short.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"3 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":"114963540","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 temperature change of the battery system has great hysteresis and nonlinearity. To predict the temperature field of the battery in real time, this paper proposes a three-dimensional multi-node thermal model, which consists of two parts: a multinode heat transfer model based on battery geometry and a finite element simulation to obtain thermal resistance parameters. Comparing the simulation results of this model in battery cells and battery packs with finite element simulation shows that the simulation error is no greater than 1°C, and the calculation time is reduced from two hours to less than 0.1s.
{"title":"A Temperature Simulation Model of Battery Thermal Management System Based on Distributed Parameters","authors":"Bingliang Zhao, Wei Yang, Haiyang Jiang, Xinlei Xu, Chao Lyu","doi":"10.1109/phm-yantai55411.2022.9942203","DOIUrl":"https://doi.org/10.1109/phm-yantai55411.2022.9942203","url":null,"abstract":"The temperature change of the battery system has great hysteresis and nonlinearity. To predict the temperature field of the battery in real time, this paper proposes a three-dimensional multi-node thermal model, which consists of two parts: a multinode heat transfer model based on battery geometry and a finite element simulation to obtain thermal resistance parameters. Comparing the simulation results of this model in battery cells and battery packs with finite element simulation shows that the simulation error is no greater than 1°C, and the calculation time is reduced from two hours to less than 0.1s.","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":"115020209","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-Yantai55411.2022.9941816
Stanley Liu
Post-retirement investment decision making and as-set allocation have often relied on the Merton’s portfolio problem to model to dictate consumption. While this model excels in being easy to analyze and generalize and has a closed form solution, it omits concrete and accurate criteria to assess the utility of a withdrawal. This research presents a novel utility function for assessing withdrawal efficiency, based on the framework of the consistency principle. This principle proposes that maximum utility is achieved when the withdrawal amount is constant at target percentage α through the planning horizon. The problem is formulated as an optimal control problem and is solved using dynamic programming. A simulation study confirms the model’s accuracy by simulating 10,000 random walks. While the model uses sample data from SPY and TLT ETFs, the model is versatile to incorporate exogenously provided portfolios. It also factors in longevity risk with minor modification. The paper proposes future avenues of exploration to expand the number of variables and use reinforcement learning as a method to resolve significantly more complex problems.
{"title":"An Optimal Decision Approach of Post-retirement Investment using Dynamic Programming","authors":"Stanley Liu","doi":"10.1109/PHM-Yantai55411.2022.9941816","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9941816","url":null,"abstract":"Post-retirement investment decision making and as-set allocation have often relied on the Merton’s portfolio problem to model to dictate consumption. While this model excels in being easy to analyze and generalize and has a closed form solution, it omits concrete and accurate criteria to assess the utility of a withdrawal. This research presents a novel utility function for assessing withdrawal efficiency, based on the framework of the consistency principle. This principle proposes that maximum utility is achieved when the withdrawal amount is constant at target percentage α through the planning horizon. The problem is formulated as an optimal control problem and is solved using dynamic programming. A simulation study confirms the model’s accuracy by simulating 10,000 random walks. While the model uses sample data from SPY and TLT ETFs, the model is versatile to incorporate exogenously provided portfolios. It also factors in longevity risk with minor modification. The paper proposes future avenues of exploration to expand the number of variables and use reinforcement learning as a method to resolve significantly more complex problems.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"81 3 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":"116344484","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-Yantai55411.2022.9942205
Liu Liu, Xiaofeng Zhang, Jianchao Feng
As a subsystem of spacecraft, thermal control plays a basic role in guarantee. According to the reliability requirements of a micro satellite, a thermal on-orbit health management system is proposed, which has ensured the normal operation of the thermal control subsystem of the satellite for more than one year and has an obviously reliability supporting effect. This paper introduces the relationship between the health management system and the thermal control subsystem at all levels, expounds and summarizes the three main parts of the management according to the actual on-orbit situations, and prospects a future advanced thermal management system. This management method can be used as a reference for reliability design and project development of other micro satellites.
{"title":"On-Orbit Health Management of Thermal Control Subsystem of a Micro Satellite","authors":"Liu Liu, Xiaofeng Zhang, Jianchao Feng","doi":"10.1109/PHM-Yantai55411.2022.9942205","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9942205","url":null,"abstract":"As a subsystem of spacecraft, thermal control plays a basic role in guarantee. According to the reliability requirements of a micro satellite, a thermal on-orbit health management system is proposed, which has ensured the normal operation of the thermal control subsystem of the satellite for more than one year and has an obviously reliability supporting effect. This paper introduces the relationship between the health management system and the thermal control subsystem at all levels, expounds and summarizes the three main parts of the management according to the actual on-orbit situations, and prospects a future advanced thermal management system. This management method can be used as a reference for reliability design and project development of other micro satellites.","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":"123561447","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-Yantai55411.2022.9941967
Li Yang, Yi Chen, Shihan Zhou, JingJing Wang, Miaomiao Wang
Condition-based replacement and spare part scheduling is essential to increase system reliability and reduce failure probabilities. The majority of current studies assume there are enough replacement parts to replace failed units, while neglecting delays caused by a shortage of spare components. The delay-time model generally employs two-stage failure processes, the first of which begins with a healthy condition and progresses to an unhealthy state, followed by a failure state. The failure process is described using a semi-Markov model, where the sojourn time in each stage follows the Erlang distribution. The state of the system is detected at some discrete equidistant epochs, and an order action is triggered once the accumulated deterioration reaches the pre-specified limit. The system is then put on hold until the spare part arrives. The goal is to reduce the operational cost by optimizing the inspection interval, and then using a semi-Markov decision process to calculate system performance indices. Finally, under the delay-time model, a numerical example is provided to demonstrate the effectiveness of the proposed optimization model.
{"title":"Delay time-based inspection and replacement optimization under Semi-Markov decision process","authors":"Li Yang, Yi Chen, Shihan Zhou, JingJing Wang, Miaomiao Wang","doi":"10.1109/PHM-Yantai55411.2022.9941967","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9941967","url":null,"abstract":"Condition-based replacement and spare part scheduling is essential to increase system reliability and reduce failure probabilities. The majority of current studies assume there are enough replacement parts to replace failed units, while neglecting delays caused by a shortage of spare components. The delay-time model generally employs two-stage failure processes, the first of which begins with a healthy condition and progresses to an unhealthy state, followed by a failure state. The failure process is described using a semi-Markov model, where the sojourn time in each stage follows the Erlang distribution. The state of the system is detected at some discrete equidistant epochs, and an order action is triggered once the accumulated deterioration reaches the pre-specified limit. The system is then put on hold until the spare part arrives. The goal is to reduce the operational cost by optimizing the inspection interval, and then using a semi-Markov decision process to calculate system performance indices. Finally, under the delay-time model, a numerical example is provided to demonstrate the effectiveness of the proposed optimization model.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"66 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":"121902052","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}
Wildlife target detection based on infrared camera images is of great significance for biological protection. At present, with the gradual popularization of infrared camera detection, real-time wildlife detection has been widely studied. A series of target detection models have emerged, but the detection accuracy is always not high. In order to realize the effective detection of wildlife, a wild animal detection method based on improved YOLOv5m is proposed in this paper. First, the Focus module in the original feature extraction network is replaced by CBL module. Secondly, the self-attention mechanism is embedded in the feature extraction module to improve the feature extraction ability of the detection network. Finally, the involution operation is introduced into the feature fusion module to improve the detection ability of each feature scale. The experimental results show that the enhanced YOLOv5m wildlife detection model in this paper has greatly improved the accuracy, recall rate and map, and provides a new technical means for wildlife detection.
{"title":"Wildlife detection algorithm based on Inv-YOLOv5m","authors":"Feifei Wang, Pengfei He, Tongjing Zhang, Dawei Liang","doi":"10.1109/PHM-Yantai55411.2022.9941895","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9941895","url":null,"abstract":"Wildlife target detection based on infrared camera images is of great significance for biological protection. At present, with the gradual popularization of infrared camera detection, real-time wildlife detection has been widely studied. A series of target detection models have emerged, but the detection accuracy is always not high. In order to realize the effective detection of wildlife, a wild animal detection method based on improved YOLOv5m is proposed in this paper. First, the Focus module in the original feature extraction network is replaced by CBL module. Secondly, the self-attention mechanism is embedded in the feature extraction module to improve the feature extraction ability of the detection network. Finally, the involution operation is introduced into the feature fusion module to improve the detection ability of each feature scale. The experimental results show that the enhanced YOLOv5m wildlife detection model in this paper has greatly improved the accuracy, recall rate and map, and provides a new technical means for wildlife detection.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"31 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":"125746733","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-Yantai55411.2022.9942211
Zhanfei Gao, J. Yao, Yihai He, Ruoyu Liao
In recent years, assembly system has been developing towards multi-state, complexity, large-scale and intelligent trend, and complex assembly tasks and assembly processes as well as dynamic and changeable assembly environment have reduced the mission reliability of assembly system, resulting in low quality and low reliability of assembly products. In addition, with the large-scale and complex structure of assembly product and the deterioration trend of service environment is becoming more and more obvious, people have higher and higher requirements for its reliability and quality. Therefore, this paper proposes a mission reliability modeling method of assembly process considering workpiece quality deviation. Firstly, the connotation of assembly process mission reliability is proposed on the basis of clarifying assembly system components and operation principle. Secondly, from the perspective of system theory, the conceptual model of PQR chain, which is embodied as the chain conceptual model of assembly machine performance state (P), assembly process quality (Q) and product reliability (R), is innovatively proposed to analyze the relationship among assembly machine performance state, assembly process quality and assembly product reliability. Thirdly, the assembly process operation quality data is highly integrated and applied to the PQR chain, and the assembly process mission reliability model considering the workpiece quality deviation is established. Finally, the feasibility of the proposed method is verified by a double nozzle flapper valve assembling example.
{"title":"Mission Reliability Modeling Method of Assembly Process Considering Workpiece Quality Deviation","authors":"Zhanfei Gao, J. Yao, Yihai He, Ruoyu Liao","doi":"10.1109/PHM-Yantai55411.2022.9942211","DOIUrl":"https://doi.org/10.1109/PHM-Yantai55411.2022.9942211","url":null,"abstract":"In recent years, assembly system has been developing towards multi-state, complexity, large-scale and intelligent trend, and complex assembly tasks and assembly processes as well as dynamic and changeable assembly environment have reduced the mission reliability of assembly system, resulting in low quality and low reliability of assembly products. In addition, with the large-scale and complex structure of assembly product and the deterioration trend of service environment is becoming more and more obvious, people have higher and higher requirements for its reliability and quality. Therefore, this paper proposes a mission reliability modeling method of assembly process considering workpiece quality deviation. Firstly, the connotation of assembly process mission reliability is proposed on the basis of clarifying assembly system components and operation principle. Secondly, from the perspective of system theory, the conceptual model of PQR chain, which is embodied as the chain conceptual model of assembly machine performance state (P), assembly process quality (Q) and product reliability (R), is innovatively proposed to analyze the relationship among assembly machine performance state, assembly process quality and assembly product reliability. Thirdly, the assembly process operation quality data is highly integrated and applied to the PQR chain, and the assembly process mission reliability model considering the workpiece quality deviation is established. Finally, the feasibility of the proposed method is verified by a double nozzle flapper valve assembling example.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"39 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":"124813332","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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