Hydropower generator unit (HGU) is the vital equipment in frequency and peaking modulation of the power grid, whose vibration contains a wealth of status characteristics. Therefore, it is significant to predict the vibration tendency of HGU and it is helpful to achieve predictive maintenance as well. However, most prediction models only focused on enhancing the stability or accuracy in previous studies. In this paper, an intelligence vibration tendency multi-step prediction model is proposed to achieve simultaneously strong stability and high accuracy, which is based on variational mode decomposition (VMD), multi-objective salp swarm algorithm (MOSSA) and kernel extreme learning machine (KELM). Firstly, the vibration signal is decomposed into several modes by VMD. Then, the prediction models of KELM are constructed. Meanwhile, MOSSA is used to identify the parameters in each KELM model. Finally, all KELM predictions are summed to obtain the predicted values of the original vibration signal. To investigate the multistep prediction performance of the proposed model, a case study and analysis of the mixed-flow HGU data in China is carried out. The experimental results demonstrate that the proposed model can achieve better results in terms of predicting stability and accuracy.
{"title":"Multi-step vibration trend prediction model based on multi-objective optimization for hydropower generator unit","authors":"Yahui Shan, Jian-zhong Zhou, Yanhe Xu, Jie Liu","doi":"10.1109/SDPC.2019.00080","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00080","url":null,"abstract":"Hydropower generator unit (HGU) is the vital equipment in frequency and peaking modulation of the power grid, whose vibration contains a wealth of status characteristics. Therefore, it is significant to predict the vibration tendency of HGU and it is helpful to achieve predictive maintenance as well. However, most prediction models only focused on enhancing the stability or accuracy in previous studies. In this paper, an intelligence vibration tendency multi-step prediction model is proposed to achieve simultaneously strong stability and high accuracy, which is based on variational mode decomposition (VMD), multi-objective salp swarm algorithm (MOSSA) and kernel extreme learning machine (KELM). Firstly, the vibration signal is decomposed into several modes by VMD. Then, the prediction models of KELM are constructed. Meanwhile, MOSSA is used to identify the parameters in each KELM model. Finally, all KELM predictions are summed to obtain the predicted values of the original vibration signal. To investigate the multistep prediction performance of the proposed model, a case study and analysis of the mixed-flow HGU data in China is carried out. The experimental results demonstrate that the proposed model can achieve better results in terms of predicting stability and accuracy.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"282 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":"121137884","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}
{"title":"SDPC 2019 Committees","authors":"","doi":"10.1109/sdpc.2019.00006","DOIUrl":"https://doi.org/10.1109/sdpc.2019.00006","url":null,"abstract":"","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"8 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":"126491178","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}
Kun Yao, Junfeng Fu, Shuyang Li, J. Wan, Gui-ping Zhou, Peng E, Yiling Ma
Steam extraction will decrease variable load capacity of a heating unit which cannot meet the power grid requirements. So the unit needs to be modified to meet this requirement. But the existing optimization methods for every subsystems are isolated from each other, which is not aware of the relationship among them. With this problem, a comprehensive optimization method is proposed with different equipment or subsystem of unit. During the process, the implementation sequence of each step of the optimization method is adjusted according to the functional attributes, such as the sequence from the logical structure to the device characteristic curve and then the CCS (Coordinate Control System) parameters. The actual test proves that this technology can improve the variable load capacity effectively, and the subsequent technology promotion also shows its universality.
{"title":"Comprehensive Optimization of Variable Load Capacity of Heating Unit under Complicated Working Conditions","authors":"Kun Yao, Junfeng Fu, Shuyang Li, J. Wan, Gui-ping Zhou, Peng E, Yiling Ma","doi":"10.1109/SDPC.2019.00125","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00125","url":null,"abstract":"Steam extraction will decrease variable load capacity of a heating unit which cannot meet the power grid requirements. So the unit needs to be modified to meet this requirement. But the existing optimization methods for every subsystems are isolated from each other, which is not aware of the relationship among them. With this problem, a comprehensive optimization method is proposed with different equipment or subsystem of unit. During the process, the implementation sequence of each step of the optimization method is adjusted according to the functional attributes, such as the sequence from the logical structure to the device characteristic curve and then the CCS (Coordinate Control System) parameters. The actual test proves that this technology can improve the variable load capacity effectively, and the subsequent technology promotion also shows its universality.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"21 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":"121726239","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}
As a large number of renewable energy, electric vehicles and energy storage systems enter the regional integrated energy system and play an increasingly important role in the system, effective energy management for integrated energy systems are necessary. However, there are many problems in the operation of integrated energy systems, including the uncertainty of renewable energy output, the operation mode of electric vehicles, the degraded cost of energy storage systems and the regulation of real-time electricity prices. To this end, this paper establishes a regional integrated energy management system model based on multi-agent method to control the balance between supply and demand and optimize operators' profit and users' cost. By setting up the operational agent and the user agent, combined with the Stackelberg game method, the energy storage devices' and the electric vehicles' work mode are determined and the electricity price is also decided. Simulations in the improved IEEE-14 bus test system show that the proposed multi-agent energy management system can control elastic loads and energy storage systems. What's more, it can reduce customer costs and increase operator revenue.
{"title":"Energy Management Method on Integrated Energy System Based on Multi-agent Game","authors":"Run Lin, Fang Fang","doi":"10.1109/SDPC.2019.00107","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00107","url":null,"abstract":"As a large number of renewable energy, electric vehicles and energy storage systems enter the regional integrated energy system and play an increasingly important role in the system, effective energy management for integrated energy systems are necessary. However, there are many problems in the operation of integrated energy systems, including the uncertainty of renewable energy output, the operation mode of electric vehicles, the degraded cost of energy storage systems and the regulation of real-time electricity prices. To this end, this paper establishes a regional integrated energy management system model based on multi-agent method to control the balance between supply and demand and optimize operators' profit and users' cost. By setting up the operational agent and the user agent, combined with the Stackelberg game method, the energy storage devices' and the electric vehicles' work mode are determined and the electricity price is also decided. Simulations in the improved IEEE-14 bus test system show that the proposed multi-agent energy management system can control elastic loads and energy storage systems. What's more, it can reduce customer costs and increase operator revenue.","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":"132415051","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 working principle of the artillery impact loading test rig, in order to make the impact load on the tested artillery in the simulation test more in line with the load requirements, a buffer is designed and installed between the impulse generator and the tested artillery. Through the buffer, the shock load between the two structures is avoided, and the load transferred to the recoil part is closer to the resultant force produced by propellant gas. According to the requirement of dynamic recoil simulation test of gun, a permanent magnet eddy current buffer structure with Halbach array is proposed in this paper. For resistance calculating of the permanent magnet eddy current recoil mechanism, a mathematical model is then formulated by using the finite element analysis method for two-dimensional axisymmetric transient electromagnetic. By comparing the simulation results with the actual firing test data, it is concluded that the recoil motion of the gun tested in the shock loading test is consistent with the real firing recoil motion trend and the error meets the design requirements.
{"title":"Design and optimization of Permanent Magnet Shock Loading Buffer","authors":"Yang Liu, Yuefei Gao, Qichen Han, Deng Wang","doi":"10.1109/SDPC.2019.00186","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00186","url":null,"abstract":"Based on the working principle of the artillery impact loading test rig, in order to make the impact load on the tested artillery in the simulation test more in line with the load requirements, a buffer is designed and installed between the impulse generator and the tested artillery. Through the buffer, the shock load between the two structures is avoided, and the load transferred to the recoil part is closer to the resultant force produced by propellant gas. According to the requirement of dynamic recoil simulation test of gun, a permanent magnet eddy current buffer structure with Halbach array is proposed in this paper. For resistance calculating of the permanent magnet eddy current recoil mechanism, a mathematical model is then formulated by using the finite element analysis method for two-dimensional axisymmetric transient electromagnetic. By comparing the simulation results with the actual firing test data, it is concluded that the recoil motion of the gun tested in the shock loading test is consistent with the real firing recoil motion trend and the error meets the design requirements.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"517 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":"133897236","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}
Around the "fault diagnosis" to analyze the manufacturing system reliability at the device performance level, it is increasingly unable to meet the requirements of predictive production. To achieve refined and integrated manufacturing process control and optimization, a dynamic mission reliability modeling method for manufacturing systems with multiple production lines is proposed in this paper. First, based on the operating mechanism of the manufacturing system and its dynamic composition, the connection of manufacturing system mission reliability covering the equipment, material, and task is proposed. Second, the mapping decomposition of task load in the manufacturing network model is analyzed and quantitative modeling is performed. Third, focusing on manufacturing mode of multiple production lines and considering the inherent multi-state characteristics of manufacturing systems, a mission reliability model of manufacturing system which integrated task planning is established. Finally, a case study is conducted to validate the proposed model.
{"title":"Dynamic mission reliability modeling for a manufacturing system with multiple production lines","authors":"C. Gu, Jing Wang, Dongpao Hong","doi":"10.1109/SDPC.2019.00203","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00203","url":null,"abstract":"Around the \"fault diagnosis\" to analyze the manufacturing system reliability at the device performance level, it is increasingly unable to meet the requirements of predictive production. To achieve refined and integrated manufacturing process control and optimization, a dynamic mission reliability modeling method for manufacturing systems with multiple production lines is proposed in this paper. First, based on the operating mechanism of the manufacturing system and its dynamic composition, the connection of manufacturing system mission reliability covering the equipment, material, and task is proposed. Second, the mapping decomposition of task load in the manufacturing network model is analyzed and quantitative modeling is performed. Third, focusing on manufacturing mode of multiple production lines and considering the inherent multi-state characteristics of manufacturing systems, a mission reliability model of manufacturing system which integrated task planning is established. Finally, a case study is conducted to validate the proposed model.","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":"128910196","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}
With the expanding of wireless sensor networks (WSNs) application, WSNs are not only designed to measure slow changing scalar values and fast changing dynamic signals such as temperature and vibration but also used to recognize more complex information like image. The image recognition system based on WSNs is a low cost and convenient alternative method for traditional wire image recognition system. This paper firstly reviews the current state of the art of WSNs for image recognition and its application in fire detection, smart metering device, medical care, and target tracking. The main research challenges and potential solutions in this field are then discussed. Optimized image recognition algorithm for WSNs nodes and low- power FPGA based WSNs nodes will be the effective solutions. Finally, a reading recognition system for the traditional rolling digital water meter is proposed and verified. The experimental results indicate that the recognition rate of the presented system reaches 97.4% for the complete number and 83.2% for the rolling number.
{"title":"Wireless sensor networks for image recognition","authors":"L. Hou, Yan Yang","doi":"10.1109/SDPC.2019.00058","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00058","url":null,"abstract":"With the expanding of wireless sensor networks (WSNs) application, WSNs are not only designed to measure slow changing scalar values and fast changing dynamic signals such as temperature and vibration but also used to recognize more complex information like image. The image recognition system based on WSNs is a low cost and convenient alternative method for traditional wire image recognition system. This paper firstly reviews the current state of the art of WSNs for image recognition and its application in fire detection, smart metering device, medical care, and target tracking. The main research challenges and potential solutions in this field are then discussed. Optimized image recognition algorithm for WSNs nodes and low- power FPGA based WSNs nodes will be the effective solutions. Finally, a reading recognition system for the traditional rolling digital water meter is proposed and verified. The experimental results indicate that the recognition rate of the presented system reaches 97.4% for the complete number and 83.2% for the rolling number.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"66 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":"128751654","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 characteristic information of fire control system is miscellaneous, which reflects the operation status of fire control system from different levels. However, due to the inaccuracy of measurement process, the evaluation criteria are not uniform.This will cause great ambiguity and uncertainty for real-time control of the health state of the fire control system.The traditional fuzzy comprehensive evaluation model only considers the fuzziness of the index but ignores the randomness. The cloud model theory considers both the fuzziness and the randomness of things. The model is applied to the fire control system. The analytic hierarchy process (AHP) is applied to obtain the correlation degree between the index and the operation level.In the overall evaluation of fire control system, the weight of feature state information is obtained by the method based on evidence trust degree, which avoids the influence of subjective weight on the overall evaluation results.D-S evidence theory is used to evaluate the overall operation status of fire control system.The validity of this method for real-time health control of fire control system is verified by an example.
{"title":"Based on Normal Cloud Model and D-S Evidence Theory Comprehensive Evaluation of Operation State of Fire Control System","authors":"Yingshun Li, Aina Wang, X. Yi","doi":"10.1109/SDPC.2019.00167","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00167","url":null,"abstract":"The characteristic information of fire control system is miscellaneous, which reflects the operation status of fire control system from different levels. However, due to the inaccuracy of measurement process, the evaluation criteria are not uniform.This will cause great ambiguity and uncertainty for real-time control of the health state of the fire control system.The traditional fuzzy comprehensive evaluation model only considers the fuzziness of the index but ignores the randomness. The cloud model theory considers both the fuzziness and the randomness of things. The model is applied to the fire control system. The analytic hierarchy process (AHP) is applied to obtain the correlation degree between the index and the operation level.In the overall evaluation of fire control system, the weight of feature state information is obtained by the method based on evidence trust degree, which avoids the influence of subjective weight on the overall evaluation results.D-S evidence theory is used to evaluate the overall operation status of fire control system.The validity of this method for real-time health control of fire control system is verified by an example.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"2013 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":"128174902","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 paper, a dependent competing risk model for a system with two-type failures is studied. Most scholars in present research consider that every shock can cause damage on the degradation process, however, because of the system resistance, only shock loads which are larger than a certain level can cause damage on the degradation. Consider that degradation failure due to degradation process and catastrophic failure due to random shocks will both make the system failed. Assume further that the degradation process and random shocks are not independent. Random shocks resulted in additional degradation. Meanwhile, degradation process affected the hard failure threshold of random shocks. In this case, reliability model of system was built. Furthermore, reliability analysis (independent verses dependent) and sensitivity analysis with different arrival rate were shown. Finally, this paper gave a numerical example. When a component experiences both degradation process and random shocks, this paper not only considers the influence of the random shocks on degradation, but also the impact of degradation on the shocks. On the other hand, this paper considered the situation of incomplete impact and established a competing model of degradation failure and traumatic failure.
{"title":"Reliability Analysis based on Dependent Competing Risk Model of Imperfect Shock Model Considering Changing Threshold and Degradation Process *","authors":"Yiwen Liu, Chunlei Bai","doi":"10.1109/SDPC.2019.00061","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00061","url":null,"abstract":"In this paper, a dependent competing risk model for a system with two-type failures is studied. Most scholars in present research consider that every shock can cause damage on the degradation process, however, because of the system resistance, only shock loads which are larger than a certain level can cause damage on the degradation. Consider that degradation failure due to degradation process and catastrophic failure due to random shocks will both make the system failed. Assume further that the degradation process and random shocks are not independent. Random shocks resulted in additional degradation. Meanwhile, degradation process affected the hard failure threshold of random shocks. In this case, reliability model of system was built. Furthermore, reliability analysis (independent verses dependent) and sensitivity analysis with different arrival rate were shown. Finally, this paper gave a numerical example. When a component experiences both degradation process and random shocks, this paper not only considers the influence of the random shocks on degradation, but also the impact of degradation on the shocks. On the other hand, this paper considered the situation of incomplete impact and established a competing model of degradation failure and traumatic failure.","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":"129651543","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 fire control system is an extremely important part of the tank and directly determines whether the tank can accurately hit the target. In extremely sophisticated fire control system devices, the signals generated by faults are mostly non-stationary, nonlinear, multi-component complex signals. In order to improve the accuracy of fault diagnosis of fire control systems, it is necessary to analyze and process complex signals more accurately. In this paper, a fault diagnosis method for fire control system is proposed. The acquired signal is denoised and extracted by empirical wavelet transform (EWT). The extracted signal is sent to the trained relevance vector machine (RVM) model. To achieve fault diagnosis of the fire control system.
{"title":"Fault diagnosis method for fire control system based on empirical wavelet transform and relevance vector machine","authors":"Li Yingshun, Li Runhao, Yie Xiaojian","doi":"10.1109/SDPC.2019.00040","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00040","url":null,"abstract":"The fire control system is an extremely important part of the tank and directly determines whether the tank can accurately hit the target. In extremely sophisticated fire control system devices, the signals generated by faults are mostly non-stationary, nonlinear, multi-component complex signals. In order to improve the accuracy of fault diagnosis of fire control systems, it is necessary to analyze and process complex signals more accurately. In this paper, a fault diagnosis method for fire control system is proposed. The acquired signal is denoised and extracted by empirical wavelet transform (EWT). The extracted signal is sent to the trained relevance vector machine (RVM) model. To achieve fault diagnosis of the fire control system.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"29 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":"132519376","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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