{"title":"SVDD-based Evaluation of Rolling Bearing Performance Degradation","authors":"Yanan Li, Gaoyang Xie, Liqing Fang, Ziyuan Qi","doi":"10.1109/EEI59236.2023.10212929","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212929","url":null,"abstract":"For the problem of difficult to monitor the operating condition of bearings A model based on SVDD rolling bearing performance degradation evaluation is proposed. Firstly, signal preprocessing is performed to obtain each subcomponent by ICEEMDAN decomposition, and screening is performed by correlation coefficient cliqueness criterion. In order to characterize the bearing characteristics accurately, the time domain index and complex domain index were combined, and the characteristics of each component were obtained.And the SVDD evaluation model is completed with the comprehensive characteristic indexes under normal condition as training samples, and the evaluation model is verified by using the rolling bearing whole life test data.The results show that the model can reflect the law of early bearing failure and its performance decline.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114971314","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":"Data Association for Multiple Radar Targets Using Graph Neural Network","authors":"C. Wang, Yuhao Yang, Qian Zhang","doi":"10.1109/EEI59236.2023.10212706","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212706","url":null,"abstract":"In the complex target tracking scenarios, Bayesianbased method and the random finite set-based method cannot solve the data association problem. This paper introduces an end-to-end data association method based on graph neural networks. As far as we know, this is the first time in the field of radar that a graph neural network method is used to solve the data association problem. Different from the traditional data association method, our method can automatically learn the association criterion from the labeled samples, and the algorithm is more adaptable to complex scenarios. The simulation and experiments on real data can verify the effectiveness of our method.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114650339","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":"A Bit-Interleaved Coded Modulation Scheme Based on the Polar Code in Underwater Acoustic OFDM Communication System","authors":"Mei-Qi Wen, Chuan-Lin He, Siwen Xing","doi":"10.1109/EEI59236.2023.10212576","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212576","url":null,"abstract":"A Bit-Interleaved Code Modulation (BICM) scheme based on the polar codes (Polar-BICM), suitable for the underwater acoustic (UWA) communication system utilizing orthogonal frequency division multiplexing (OFDM) is proposed in this paper. In the proposed scheme, the design and implementation of the encoder and the modulator are combined to improve the communication rate, while the traditional schemes usually consider independently. The system BER performance affected by variance interleaver types, interleaver lengths and code lengths are carefully discussed in this paper. The LDPC-BICM system and the Trellis Coded Modulation (TCM) scheme are chosen as the control schemes. Simulation and experimental results show that the BER performance of the UWA OFDM communication system based on Polar-BICM is much better than that based on the TCM scheme. Moreover, a higher coding gain than the LDPC-BICM UWA OFDM system is obtained because of the Polar Code. At the same time, the compiled code implementation of Polar Code is relatively simpler than that of the LDPC coding scheme. Therefore, the Polar-BICM system improves the transmission efficiency of the system effectively without losing reliability, which contributes a lot to the practical application of the coding and modulation combination technology in UWA communication.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116640505","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":"Design of Memristor High-Pass Filter Circuit","authors":"Zelong Liu, Tong Li","doi":"10.1109/EEI59236.2023.10212835","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212835","url":null,"abstract":"Based on the Hewlett-Packard amnesia resistor, an equivalent circuit model is developed, and circuit analysis and simulation are performed. From the simulation results, it is concluded that the equivalent circuit model of the memristor has a memory function and has the basic characteristics of a memristor. The cutoff frequency of the filter circuit is obtained by replacing the resistor in a common filter circuit with an analog circuit of an amnesia resistor, and the AC small-signal scan of the transformed filter circuit is analyzed. After the simulation analysis of different input signals, it is concluded that the circuit design meets the requirements of high-pass filtering circuit and has good filtering effect.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114914464","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":"Copyright Page","authors":"","doi":"10.1109/eei59236.2023.10212513","DOIUrl":"https://doi.org/10.1109/eei59236.2023.10212513","url":null,"abstract":"","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116395128","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":"Research on Voice Wake Based on Depthwise Separable Convolutional Neural Network","authors":"R. Liu, Penghao Wang, Lin Zhou, Youxi Luo","doi":"10.1109/EEI59236.2023.10212965","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212965","url":null,"abstract":"Aiming at the study of voice wake-up, this paper builds a 12-layer deep separable convolutional neural network- DSCNN based on deep separable convolutions. It determines whether wake words are recognized by binary classification of the feature spectrum after feature extraction. Choosing, 'HelloMia” as the wake-up word, the training set contains 7982 positive sample speeches with the label (1,0), negative sample speech 1315 with the label $(0,1)$, by introducing the batch normalization layer (BN layer), the model converges at 0.3 epochs, the accuracy rate is 0.9994 on the test set of 10,000 positive samples, and the accuracy rate is 0.9889 on the test set of 2362 negative samples. The wake-up rate is 99.94%, and the false wake-up rate is only 1.11%. Compared with ordinary convolutional models, it is found that DSCNN greatly reduces the number of parameters and memory consumption, while the convergence speed and training effect have not decreased.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122076568","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}
Ke Liu, Laijun Chen, Nanfang Li, Jianwei Yang, Jun Han, Xiao-ling Su
{"title":"Wavelet Change and Convolutional Neural Network Based Power Quality Online State Estimation Method","authors":"Ke Liu, Laijun Chen, Nanfang Li, Jianwei Yang, Jun Han, Xiao-ling Su","doi":"10.1109/EEI59236.2023.10212475","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212475","url":null,"abstract":"The large-scale integration of new energy power generation and its supporting facilities in power system makes power quality online monitoring system facing new challenges like processing massive monitoring data which makes power quality data feature extraction and state estimation more difficult. In order to meet the data-driven based real-time power quality management requirements, this paper proposed an online feature extraction and state estimation method for power quality data processing. First, characteristic values of power quality monitoring data are calculated using wavelet change based feature extracted method. Second, extracted feature model is established according to multiple eigenvalues of power quality disturbance training examples. Finally, dynamic classification and power quality online state estimation method is proposed using convolution neural network. The simulation results verifies the feasibility and efficiency of the proposed method.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129641692","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":"Study on Distribution Characteristics of Evaporation Duct for Electromagnetic Wave Propagation","authors":"Haichuan Tang, Yu Zhang, Hua Wang, Xiang-jun Yu","doi":"10.1109/EEI59236.2023.10212977","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212977","url":null,"abstract":"Evaporation duct widely exists in the ocean, which has an important impact on shipborne electronic equipment. The application of an evaporation duct requires mastering the distribution characteristics of an evaporation duct. Based on the ERA-Interim surface data released by ECMWF from 2011 to 2015, the P-J evaporation duct model is used to analyze the distribution of global evaporation ducts. It is concluded that the average height of the evaporation duct is zonally distributed, which can be divided into seven zones, from low to high latitudes, the lower-value zone of the tropical convergence zone, the high- value zone of the north trade wind zone, the high-value zone of the south trade wind zone, the transition zone of the northern hemisphere, the transition zone of the southern hemisphere, the low-value zone in northern hemisphere and southern hemisphere; the height of the evaporation duct is relatively low on the cold current areas, and relatively high on the warm current areas; the evaporation duct has not only geographical variation but also seasonal variation. The seasonal variation in the location of the lower value zone of the tropical convergence zone are roughly the same as that of the equatorial convergence zone. It is located at the southernmost point in February and the northernmost point in August. The location of high-value areas of trade wind has the same seasonal variation. The height of the evaporation duct in high-value areas of trade wind is higher in the season with relatively strong trade wind and low relative humidity, and lower in the season with relatively weak trade wind and high relative humidity.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130503177","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":"Line Loss Calculation Method Based on Improved K-Means Algorithm and LSTM for Low-Voltage Stations Area of Distribution Networks with DGs","authors":"Yuanzhu Fan","doi":"10.1109/EEI59236.2023.10212489","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212489","url":null,"abstract":"As renewable energy sources with random and intermittent characteristics are connected to the distribution network, the traditional theoretical calculation method of line loss is no longer applicable to the estimation of line loss in low-voltage distribution networks with DGs. A novel method of line loss calculation method based on improved K-means algorithm and LSTM for low-voltage stations area of distribution networks with DGs. Firstly, in order to effectively explore the relevance of line loss impact factors in distribution networks containing distributed power sources, the maximum mutual information coefficient is used to select line loss impact factors and establish a line loss index evaluation system. Secondly, the Cuckoo Search algorithm is introduced to optimise the k-means clustering algorithm, the clustering criterion function of weighted euclidean distance is proposed, and the adaptive step size and adaptive bird's nest elimination probability are defined with the inverse tangent function to solve the problem that the traditional clustering algorithm is too sensitive to the initial clustering centre and to improve the clustering accuracy. Finally, the clustering data is fed into an LSTM neural network, which is trained and fitted to obtain line loss estimates. The accuracy and validity of the proposed method was verified by an example analysis using a typical load day sample data of 410 active low-voltage stations area containing PV in a region.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123869539","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":"A 12Bits segment SAR ADC with low power switching method","authors":"Boyi Xie, Qianqian Lei, Zhe Zhang, Qihang Liu, Yanfei Yang, S. Feng","doi":"10.1109/EEI59236.2023.10212594","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212594","url":null,"abstract":"Aiming at the successive approximation register (SAR) analog to digital converter (ADC) with low power application requirements, the SAR ADC module has been optimized. A VCM-based switching method is used to design a segment capacitor array with upper plate sampling method to decrease the power consumption of the capacitor array module during conversion. On the other hand, connect the output of the two-stage dynamic comparator to the digital logic gate to construct asynchronous logic, and provide feedback to generate the clock signal of the comparator, avoiding the external high frequency clock, reducing the power consumption and improving speed. Based on the SMIC 28 nm CMOS technology, the ADC was simulated and verified on Cadence platform. The ADC achieves ENOB of 11.98 bits and SFDR of 90.90 dBc, and whole ADC consumes 49.79 μW under a 0.9 V supply voltage at a sampling rate of 20 MS/s with a Figure of merit (FoM) of 6.98 fJ/conv-step.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121370944","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}