2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)最新文献_第10页

Current Harmonic Elimination for Dual Three-phase PMSM Based on Flux Linkage Harmonic Closed-loop Control 基于磁链谐波闭环控制的双三相永磁同步电机电流谐波消除

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516128

Zaimin Zhong, Can Li, X. Yin

引用次数: 0

Optimization of Complex Mine Ventilation System Based on AHP-WRSR 基于AHP-WRSR的复杂矿井通风系统优化

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516329

Qiu-Ping Bi, Yucheng Li

引用次数: 0

The influence of different factors on the power-generation performance of reverse electrodialysis 不同因素对反向电渗析发电性能的影响

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516376

Yiwei Wang, Jiabin Guo, Yife Wu, Xiaolian Li, Mei Li, Chenxu Zhao, C. Gao

{"title":"The influence of different factors on the power-generation performance of reverse electrodialysis","authors":"Yiwei Wang, Jiabin Guo, Yife Wu, Xiaolian Li, Mei Li, Chenxu Zhao, C. Gao","doi":"10.1109/ICIEA51954.2021.9516376","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516376","url":null,"abstract":"Reverse electrodialysis (RED) is a nonpolluting energy technology which can convert the salinity gradient energy into electricity. In this paper, the influence of different influencing factors on the power-generation performance is studied experimentally via linear sweep voltammetry (LSV) measurement based on the electrochemical workstation platform. The results show that the increase in the number of cell pairs makes the open circuit voltage and stack resistance raise while the maximum power density of RED stack decreases continuously. The optimal value of maximum power density is obtained when the cell pair number is 5. Regardless of whether the solution concentration ratio is constant or not, increasing the solution concentration will cause the stack resistance to reduce and the power density gradually rises. The highest maximum power density is found at 120–4 g/L. Finally, as the flow rate increases, the open circuit voltage remains unchanged and the stack resistance decreases, so correspondingly the maximum power density increases constantly. When the flow rate is 40 L/h, the RED system has the best power generation performance.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"44 1","pages":"329-332"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82802729","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}

引用次数: 0

Research on the Fault-Diagnosing Method in the Operation of the Threshing Cylinder of the Combine Harvester 联合收割机脱粒筒运行故障诊断方法研究

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516239

Jia Shi, M. Jiang, Yongjia Zhao, Ning Liao, Zhuo Wang

{"title":"Research on the Fault-Diagnosing Method in the Operation of the Threshing Cylinder of the Combine Harvester","authors":"Jia Shi, M. Jiang, Yongjia Zhao, Ning Liao, Zhuo Wang","doi":"10.1109/ICIEA51954.2021.9516239","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516239","url":null,"abstract":"Combine harvester is operated in the complex and changeable working environment, with heavy load and long working time. During the working process of the combine harvester, many problems including too fast the operation speed and the uneven feeding amount could cause blockage of the threshing cylinder, affecting the working efficiency, and causing great damage to the combine harvester. Blockage of the threshing cylinder can be found out through observing rotate speed and torque. Previous fault diagnosis methods only diagnosed the rotate speed without considering impacts from other parameters. These methods easily underreport faults and have limited diagnostic capabilities. In this paper, a multi-parameter trend-change fusion analysis method based on the instantaneous change trend of the target signal was proposed to comprehensively analyze the rotate speed and torque. The rules of early warning and alarming of the jam fault were also defined: an alarm is issued when the rotate speed is less than 40% the upper limit and the torque is greater than 70%, and a warning prompt is given when the fault judgment value $I$>0.01. With the corn combine harvester as the analysis object, experiments show that the proposed fault-diagnosing method can effectively distinguish the real jam and false jam in the early warning, and give the early warning prompt and alarm in time without false alarm or underreport. The proposed method can help to reduce the number of stoppages during the operation caused by false alarm and the damage caused by underreport. It can improve the operation efficiency and save maintenance costs.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"35 1","pages":"1279-1284"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82665437","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}

引用次数: 0

A fuzzy PI controller for piezoelectric fast mirror based on particle swarm optimization 基于粒子群优化的压电快速反射镜模糊PI控制器

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516110

Yutong Dong, Cong Li, Lei Liu, Hongjie Yang, Te Chen, Guixing Cao

引用次数: 1

Prediction of Air Conditioning Energy Consumption Based on BP Neural Networks with an Each-Column Optimization Synthesis Algorithm 基于BP神经网络的空调能耗预测及各列优化综合算法

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516077

Dingwen Cai, Pei-yong Duan, Jun-qing Li

{"title":"Prediction of Air Conditioning Energy Consumption Based on BP Neural Networks with an Each-Column Optimization Synthesis Algorithm","authors":"Dingwen Cai, Pei-yong Duan, Jun-qing Li","doi":"10.1109/ICIEA51954.2021.9516077","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516077","url":null,"abstract":"Smart city construction is closely related to building energy consumption data analysis, and energy consumption prediction is helpful to guide urban power dispatching strategy. In general, the artificial neural network models used for energy consumption prediction are often based on the optimization of a single network, which has some shortcomings such as poor generalization ability and unstable fitting accuracy. Therefore, in order to improve the performance of BP neural network in building air conditioning energy consumption prediction, a per-column optimization prediction model is constructed in this paper. In order to avoid falling into the local minimum, genetic algorithm and particle swarm optimization algorithm are introduced to optimize the weight and threshold of the basic BP neural network to avoid the randomness of the parameters. Then, in order to improve the reliability and prediction accuracy of the model, the optimal prediction value is identified on the basis of the BP model prediction value based on the optimization algorithm. In addition, this paper makes an experimental study on the real air-conditioning energy consumption of a building in Laixi City, and the experimental results show the superiority of the model. The prediction accuracy is improved by about 79%, and the reliability of the algorithm is also improved. In the long run, the model can provide advance prediction for urban power dispatching and contribute to the construction of smart cities.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"25 1","pages":"1696-1701"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87009619","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}

引用次数: 0

Research of Fault Diagnosis Method for New High-speed Railway Single Power Distribution Station Based on Bayesian Network 基于贝叶斯网络的新建高速铁路单配电站故障诊断方法研究

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516213

Hao Wang, Xiaoqiong He

引用次数: 0

Interpretation of DGA for Transformer Fault Diagnosis with Step-by-step feature selection and SCA-RVM 基于分步特征选择和SCA-RVM的DGA变压器故障诊断解释

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516299

Xie Le, Zhao Yijun, Yang Keyu, Shao Mingzhen, Li Wenbo, L. Dong

引用次数: 0

Design and Comparison of High-Order Output Filters for Grid-Connected Converters with Low Switching Frequency 低开关频率并网变流器高阶输出滤波器的设计与比较

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516419

Hao Qian, Jinming Xu, Yuan Hu, Shaojun Xie

{"title":"Design and Comparison of High-Order Output Filters for Grid-Connected Converters with Low Switching Frequency","authors":"Hao Qian, Jinming Xu, Yuan Hu, Shaojun Xie","doi":"10.1109/ICIEA51954.2021.9516419","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516419","url":null,"abstract":"For a grid-connected converter, the output filter is probably one of the heaviest and bulkiest components. As the power rating continues to rise, the switching frequency is quite limited and the size of the output $L$ filter can increases a lot. It is challenging to design the output filter with small size. It has been a consensus for researchers and engineers that high-order filters are more suitable than the conventional L-type filter because they exhibit higher attenuations of switching harmonics even at low switching frequencies. However, among so many kinds of high-order filters, it can still be unclear which one is more suitable for high-power converters with low switching frequencies. Hence, in this paper, three high-order output filters (i.e., LCL, LLCL, LCL-LC) are selected and designed for 4 MW grid-connected inverter, by considering the variations of filter parameters. Especially, in the view of minimizing the total stored energy, the comparisons of different high-order filters are emphasized. It is shown that a higherorder filter may not always have a lower value of stored energy and the LLCL filter can realize the lowest stored energy among the discussed high-order filters.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"71 1","pages":"894-899"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84601743","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}

引用次数: 1

Simulation Analysis of Inconsistency of Series-connected Batteries under Constant Current Condition 恒流条件下串联电池不一致性仿真分析

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516342

Xu Chen, Xiangdong Li, Shuvu Jin, Saihan Chen, Jinlei Sun

{"title":"Simulation Analysis of Inconsistency of Series-connected Batteries under Constant Current Condition","authors":"Xu Chen, Xiangdong Li, Shuvu Jin, Saihan Chen, Jinlei Sun","doi":"10.1109/ICIEA51954.2021.9516342","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516342","url":null,"abstract":"Lithium battery (LiB) is widely used in electric vehicles (EVs), energy storage power stations and other fields. because of its high voltage, light weight, high energy density, good cycle performance, low self discharge rate and no memory effect, less environmental pollution and other significant advantages. However, due to the limited voltage and capacity of battery cells, battery is usually used as a battery pack composed of hundreds of single cells in parallel or series, The difference between batteries not only affect the charging and discharging capacity of batteries, but also lead to battery aging and potential safety problems. It is of great significance to study the influence of the differences between cells on the battery pack for battery grouping and battery balancing. This paper takes the coupling relationship among the initial state of charge (SOC), initial capacity and initial internal resistance into consideration, and establishes the relationship between the initial parameters. A model consists six cells connected in series is established based on the Rint equivalent circuit model, and simulations under different working conditions are conducted. The simulation results show that the consistency of the capacity of battery pack is mainly affected by the initial SOC and initial capacity. The influence of the two factors on capacity of battery pack consistency under different charging current rates is different. The initial internal resistance has little effect on capacity consistency under different charging current rates.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"9 1","pages":"1803-1808"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84622264","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}

引用次数: 0