2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)最新文献

{"title":"Performance evaluation of fault-tolerance operation of three-phase voltage source rectifier with predictive control","authors":"Xing Liu, F. Yu, Xu Zhang, Wen‐Long Huang","doi":"10.1109/ICIEA.2018.8398114","DOIUrl":"https://doi.org/10.1109/ICIEA.2018.8398114","url":null,"abstract":"Three phase voltage source rectifiers (VSRs) have been widely utilized to realize AC-DC power conversion over the past decades. Nevertheless, VSR switch devices such as Insulated Gate Bipolar Transistors (IGBTs) and Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFETs) are prone to fault, as a result of thermal dissipation problem. In order to solve this issue, a fault-tolerant three-phase VSR topology is proposed to deal with the open-circuit faults in this paper. The topology of the proposed VSR is a six-switch three-phase VSR (SSTP-VSR) under common operation and will be reconstructed into a four-switch three-phase VSR (FSTP-VSRs) for post-fault operation. In addition, a finite control set model predictive control (FCS-MPC) strategy is addressed to handle the unbalance of the dc-link capacitor voltages. Simulation results are conducted to verify the validity of the proposed control strategy.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116330734","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":"Experimental temperature variation in battery pack with unbalanced SOCs during charging process","authors":"Bo Yang, Zhenyu Chen, J. Xue, Qingqiang Xu, Jinlei Sun, Yuhua Xiao, Zhao Liu","doi":"10.1109/ICIEA.2018.8397974","DOIUrl":"https://doi.org/10.1109/ICIEA.2018.8397974","url":null,"abstract":"The State of Charge (SOC) inconsistency is common for battery pack after long-term cycling. The unbalanced SOCs is a threat to thermal safety and performance. For this work, five cells were connected in series to build a pack with initial SOCs 0%,5%,10%,15%,20%. Charging experiments are taken with charging rates 12A (0.3C), 20A(0.5C), 40A(1C), respectively. The temperature distribution is analyzed. The results of this work demonstrate that the increase of SOC gap results in the increase of temperature non-uniformity. The temperature difference is little for cells with 5%–10% SOC gap, while the temperature difference reaches 6D for cells during charging at 40A with 20% SOC gap.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"56 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123499468","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":"Removal mechanism of redundant blank nodes in linked data","authors":"Lu Yang, Li Huang, Haichuan Lu, Fangfang Xu","doi":"10.1109/ICIEA.2018.8397878","DOIUrl":"https://doi.org/10.1109/ICIEA.2018.8397878","url":null,"abstract":"In the development of the semantic web, blank nodes (also called anonymous nodes or anonymous resources) are a significant factor in the data redundancy. Blank nodes are RDF nodes of the graphs which are not URI identifies. And they are convenient for those resources which are complex and not URI identifies but have property structures. It is right because blank nodes have no URI identifies that different people may create different blank nodes for the same anonymous resources which caused the huge information redundancy. A method is proposed in this paper, first, according to the features of blank nodes, detect the blank nodes, and then, dictionary the triples of the RDF graph, for blank nodes, expressed in negative, which is convenient to query the triples containing blank nodes. Then according to the mining rules of linked data, all the S-Models (The triples set which uses as subject), O-Model (The triples set which use o as object) and B-Blanks (Blank node collection) of the RDF graph can be constructed. Traverse the B — Blanks collection, and remove the redundancy of SB-Model (The triples set which use blank node b as subject) and OB-Model (The triples set which use blank node b as object). Experimental results show that the proposed blank node detection method is very efficient. And the efficiency of compression and storage is improved based on the processed RDF file. Experiments show that the use of dictionary-based correlation data to detect and remove the blank node greatly improves the operating efficiency. In this paper, the detection of the blank nodes based on the correlation data is only based on the representation of the blank nodes in the triplet. It can not detect the blank nodes for the data in the common RDF chart format. The blank nodes based on the correlation data For now, only for the simple RDF data model, the SOBM algorithm proposed in this paper can not remove the blank nodes well. So the next work mainly includes: (1) Perfecting the method of detecting blank nodes to better support RDF data format of various structures; (2) Perfecting the algorithm of removing blank nodes to make it better to deal with Blank node chain problem.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125873291","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":"Salient pole rotor with partially covered shrouds for the windage loss reduction of bearingless switched reluctance motors","authors":"Jingwei Zhang, Hong-hua Wang, Ling Chen, Chao Tan, Yi Wang","doi":"10.1109/ICIEA.2018.8397835","DOIUrl":"https://doi.org/10.1109/ICIEA.2018.8397835","url":null,"abstract":"As a high efficient mechatronic system, the bearingless switched reluctance motors (BSRMs) have been proposed in recent decades. In this paper, the windage loss of the salient pole rotor of a high-speed BSRM is investigated. Several conventional methods for reducing the windage loss of salient pole rotors, including optimizing the profile of the rotor and covering shrouds for the rotor, are analyzed in detail based on computational fluid dynamics (CFD). Simulation results show that the windage loss cannot be reduced by only optimizing the profile of the salient pole rotor. However, the windage loss of the rotor with covered shrouds is decreased significantly. At last, a salient pole rotor with partially covered shrouds is presented. CFD results reveal that it not only alleviates the windage loss caused by the salient poles, but also guarantees the effective convection of air flow between the rotor slot and the cavity of shell to cool the rotor.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"166 12 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125975511","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":"Modeling and analysis of gravity and gravity gradient based on terrain anomaly","authors":"Yuanwei Guo, Ling Xiong, Xiang Cheng","doi":"10.1109/ICIEA.2018.8398029","DOIUrl":"https://doi.org/10.1109/ICIEA.2018.8398029","url":null,"abstract":"Gravity map or gravity gradient map is one of three elements of aided navigation based on the gravity field. The characteristics of the gravity map or gravity gradient map is one of the keys to gravity field aided navigation. In this paper, the integral range is determined under the condition of guaranteeing accuracy, the gravity map and gravity gradient map are calculated by the terrain anomaly body, and the statistical characteristics of gravity map and gravity gradient map at different grid spacing are analyzed. The simulation results show that the gravity gradient contains more high frequency information, and the gravity map contains more low frequency information in the same grid spacing. When the grid spacing is 50m, 100m and 200m, the variation of the standard deviation of gravity gradient is less than 1E, when the spacing is 400m, the variation of the standard deviation of gravity gradient is greater than 1E. If the accuracy of gravity gradiometer is less than 1E, the accuracy of navigation by gravity gradient under this terrain is less than 200m. When the grid spacing is 50m, 100m, 200m, 400m, the change of gravity standard deviation is less than 0.2mGal. If the accuracy of the gravimeter is less than 0.2mGal, the accuracy of navigation by gravity under this terrain is less than 400m.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"160 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126110272","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":"An underdetermined blind source separation algorithm based on clustering analysis and time-frequency representation","authors":"Yutong Lu, Qu Jian-ling, G. Feng, Tian Yan-ping","doi":"10.1109/ICIEA.2018.8398028","DOIUrl":"https://doi.org/10.1109/ICIEA.2018.8398028","url":null,"abstract":"To overcome the disadvantages of traditional blind source separation algorithm in solving the problem of undetermined blind source separation, a new algorithm based on clustering analysis and time-frequency representation is proposed. Firstly, Ensemble Empirical Mode Decomposition algorithm was utilized to decompose the observed signal into a series of eigenfunctions. K-means as well as singular value decomposition clustering was used for estimating source number in observed signals. Then, the estimation of the mixed matrix was realized by Short Time Fourier Transform(STFT) and fuzzy c-mean clustering. Simulation experiments on linear and nonlinear mixture and the separation experiment for vibration signal of rolling bearing datasets demonstrate the efficiency and feasibility of the proposed algorithm.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126194782","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":"An optimized method of embedded system based on on-chip programmable memory","authors":"Yi Guo, Wei Hu, Tiantian Bao, Hongyu Pan","doi":"10.1109/ICIEA.2018.8397821","DOIUrl":"https://doi.org/10.1109/ICIEA.2018.8397821","url":null,"abstract":"In order to improve the efficiency of on-chip programmable memory and reduce power consumption, This paper introduces an embedded system optimization method based on on-chip programmable memory. The method of this paper first analyzes and marks the running time of the storage object, then calculates the scheduling priority of the storage object, and then generates the scheduling sequence of the storage object on the chip programmable memory based on the scheduling priority. Finally, the storage space is allocated according to the size of the on-chip programmable memory space. This method realizes the scheduling of storage objects by using the frequency of storage objects and the use of time as parameters, which improves the efficiency of the on-chip programmable memory, improves the performance of the embedded system and reduces the energy consumption of the embedded system.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128416962","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":"Characteristic evaluation of full bridge delta-sigma modulated inverter with sampling interval jitter component","authors":"A. Hirota, S. Mekhilef, M. Nakaoka","doi":"10.1109/ICIEA.2018.8398123","DOIUrl":"https://doi.org/10.1109/ICIEA.2018.8398123","url":null,"abstract":"Switching power converters are widely used because of its saving energy feature. Pulse width modulated (PWM) inverter causes large switching noise peaks on the carrier frequency. But delta-sigma modulated inverter does not induce large noise component and this makes an advantage of avoiding EMI problems. Although delta-sigma modulator operates on the assumption that the sampling interval is uniform, it is necessary to examine the influence of the sampling interval variation. This paper examines the sampling interval jitter component effect on the output voltage characteristics of delta-sigma modulated inverter. From the investigation, it is plain that the low frequency harmonic components increase in compliance with jitter rate.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128180817","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":"Three parameter Weibull distribution estimation based on particle swarm optimization","authors":"Z. Li, Junkuan Cui, Weiguang Li, Yuanyuan Cui","doi":"10.1109/ICIEA.2018.8398017","DOIUrl":"https://doi.org/10.1109/ICIEA.2018.8398017","url":null,"abstract":"Through the simulation data, maximum likelihood estimation (M-L), ant colony algorithm (ACO) and particle swarm optimization (PSO) are used to compare the parameters estimation of three parameter Weibull distribution, the shortage of the maximum likelihood estimation in the three parameter solution process is analyzed, For the defects of ACO algorithm optimization result that it is easy to cause the local optimum (producing “premature” phenomenon), a solution based on the whole area iteration method proposed. By comparing the performance of the three algorithms under the index of fitness, efficiency, correlation, AD test and so on, the conclusion that ant colony algorithm and particle swarm optimization algorithm have better applicability in parameter estimation of three parameter Weibull distribution and particle swarm optimization algorithm is superior to ant colony algorithm and maximum likelihood estimation is drawn.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127151217","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":"Moving target detection based on adaptive edge extraction algorithm","authors":"Xiaojing Liu, Feng Xue","doi":"10.1109/ICIEA.2018.8397893","DOIUrl":"https://doi.org/10.1109/ICIEA.2018.8397893","url":null,"abstract":"Traditional three frames difference target detection algorithm is easy to be a hole phenomenon, especially when the holes appear in the target edges, the final binary image would be edge absence heavily, so it is difficult to obtain the whole target through morphological processing. Therefore, this paper proposes an adaptive edge extraction algorithm to obtain the target edges, which would make an edge supplement for the detection result of the three frames difference algorithm and then obtains the complete moving target through the morphological processing. This algorithm acquires the model parameters adaptively according to the moving characteristics of target, which could improve the accuracy and integrity of edge extraction. An experimental study performed shows that the proposed approach could extract moving targets from video sequences quickly and effectively.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127234651","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}