2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)最新文献_第4页

Finite Element Analysis for Force of Cement Fiberboard 水泥纤维板受力的有限元分析

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/epce58798.2023.00028

W. Peng, Bin Wang, Liang Tao, Wu Zhang, Mingnian Zhang, Yongjun Zhao, Juan Peng

引用次数: 0

Research on safe vehicle speed model of LNG tank container transportation curve based on Trucksim 基于Trucksim的LNG罐式集装箱运输曲线安全车速模型研究

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00042

Xingyue Xiao, Zhiyong Lv, Qike He

{"title":"Research on safe vehicle speed model of LNG tank container transportation curve based on Trucksim","authors":"Xingyue Xiao, Zhiyong Lv, Qike He","doi":"10.1109/EPCE58798.2023.00042","DOIUrl":"https://doi.org/10.1109/EPCE58798.2023.00042","url":null,"abstract":"Since LNG tanks transport flammable and explosive liquids, there are many affected factors and are prone to safety accidents, among which rollover accounts for a large proportion of LNG tank container vehicle transportation accidents and may cause serious consequences, so it is necessary to study the causes and risk control of LNG tank container transport vehicle rollover accidents. The causative factors of LNG road transport vehicle rollover accident are listed and analyzed in detail, the mechanism of speed on rollover accident is clarified, and it is proposed that the safe speed can be studied in combination with factors such as road alignment, a safe vehicle speed model can be established, and risk control measures can be formulated from the aspect of speed management, which can effectively ensure the safety of LNG road transport. In this paper, a fixed model is selected, the TruckSim software is used to build a model of LNG tank transporter dynamics, and the situation of LNG tank container transporter driving under different loads is selected, and the different speed passage of LNG tank container transporter is simulated, according to the analysis results, it is necessary to slow down in advance when driving to a sharp bend with a small circular curve radius to reduce the occurrence of rollover accidents.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122858195","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

Hybrid artificial intelligence for power grid line fault diagnosis and restoration auxiliary decision-making 混合人工智能用于电网线路故障诊断与修复辅助决策

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00031

Wenteng Liang, Yulin Zhao, Zhenhua Zhang, Yizhen You, Yan Li

{"title":"Hybrid artificial intelligence for power grid line fault diagnosis and restoration auxiliary decision-making","authors":"Wenteng Liang, Yulin Zhao, Zhenhua Zhang, Yizhen You, Yan Li","doi":"10.1109/EPCE58798.2023.00031","DOIUrl":"https://doi.org/10.1109/EPCE58798.2023.00031","url":null,"abstract":"This paper proposes a data-driven power grid line fault diagnosis and knowledge-driven auxiliary decision-making technology for intelligent restoration of power lines. First of all, a confidence-expert system fault diagnosis model for power grid lines is proposed, and the model misjudgment is avoided by using the confidence model to score the evaluation results of the expert system. Then, the ontology structure of the knowledge atlas for power grid restoration decision is designed, and the power system named entity recognition model is trained to assist the automatic generation of the knowledge atlas. Finally, the active retrieval technology of restoration knowledge based on fault diagnosis results of power lines is constructed to realize intelligent research and judgment of restoration information of fault lines. According to the experimental data, the accuracy of the newly proposed line fault diagnosis technology is about 97.6%, which is about 20% higher than that of the traditional expert system method. The retrieval and judgment time of the fault line power recovery disposal information is less than 1s, which greatly improves the recovery efficiency and ability of the power system after the line fault, and reduces the workload of the dispatchers to collect the operation information and formulate the power recovery strategy when dealing with the fault.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125429108","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 remaining life prediction of bearings based on CDBN-BIGRU 基于CDBN-BIGRU的轴承剩余寿命预测研究

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00041

Xin Chen

引用次数: 0

Conducted Electromagnetic Disturbance Prediction of Electric Power Robot Motor Drive System 电动机器人电机驱动系统的传导电磁干扰预测

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00021

Yingshuang Cao, Zhe Liu, Yabin Liu, Tian Liu

{"title":"Conducted Electromagnetic Disturbance Prediction of Electric Power Robot Motor Drive System","authors":"Yingshuang Cao, Zhe Liu, Yabin Liu, Tian Liu","doi":"10.1109/EPCE58798.2023.00021","DOIUrl":"https://doi.org/10.1109/EPCE58798.2023.00021","url":null,"abstract":"With the continuous development of artificial intelligence, electric robots in the power grid can replace manual work in some dangerous environments and conditions with high accuracy requirements. The electromagnetic compatibility of power robots in complex electromagnetic environments is particularly important for safety and reliability, and is one of the key indicators for the practical application of power robots. In the motor drive system of power robots, due to the rapid opening and closing of switching devices, many pulses are generated, and these pulse signals can cause oscillations and generate non-negligible electromagnetic disturbance, which seriously affects the normal operation of its own equipment and adjacent electrical equipment. In this paper, we analyze the conduction disturbance sources and disturbance propagation paths of motor drive system, propose a modeling and prediction method for conduction disturbance of motor servo drive, and conduct experimental verification of simulation results, and make a prospective study on the suppression method of conduction disturbance. The test shows that the method can effectively predict the conducted disturbance waveform of electric power robot motor drive system, which is an important guidance for the solution of electromagnetic disturbance problem of electric power robot drive system.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129684487","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 application scenarios and supporting technologies of digital technology in the power industry 数字技术在电力行业的应用场景及支撑技术研究

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/epce58798.2023.00043

Weiwei Li, Yijiang Liu, Dan Xu, Hui-Juan Huo, Cheng Xin, Shuo Wang

引用次数: 0

Tibetan Speech Recognition Based on Multipath Convolutional Neural Network 基于多径卷积神经网络的藏文语音识别

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/epce58798.2023.00047

Zhenye Gan, Tingting Li, Hanwen Guo

引用次数: 0

Optimizing Parameters of Support Vector Machines Using an Enhanced Whale Optimization Algorithm 基于增强鲸鱼优化算法的支持向量机参数优化

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/epce58798.2023.00034

Y. Wenzhuo, Liu Shuo

{"title":"Optimizing Parameters of Support Vector Machines Using an Enhanced Whale Optimization Algorithm","authors":"Y. Wenzhuo, Liu Shuo","doi":"10.1109/epce58798.2023.00034","DOIUrl":"https://doi.org/10.1109/epce58798.2023.00034","url":null,"abstract":"To enhance the parameters of the kernel function in the conventional support vector machine (SVM) - σ and penalty factor C - an advanced whale optimization algorithm (IWOA) is introduced within this article to optimize the SVM parameter model (IWOA-SVM). The IWOA algorithm is employed to augment the optimization capability of the original whale optimization algorithm, focusing on three key aspects: Firstly, the chaotic circle mapping technique is utilized to produce the initial positions of the initial whale population, which serves as a foundation for population diversity during the algorithm's global search process; Secondly, an adaptable weight parameter is integrated into the spiral ascent phase of the whale, which reinforces the local exploration capability of IWOA, accelerates its rate of convergence and augments the precision of the algorithm; Lastly, the Cauchy mutation perturbation is employed to alter the current optimal solution, thereby averting the algorithm from being confined to a local optima state. The optimization of parameters for the SVM kernel function is achieved through the Improved Whale Optimization Algorithm, by tuning the kernel function's parameters such as σ and penalty factor C, and then verified on the UCI dataset. In comparison to conventional SVM, Particle Swarm Optimization SVM, Genetic Algorithm Optimization SVM, and Original Whale Algorithm Optimization SVM, IWOA-SVM demonstrates the highest classification accuracy, indicating its effectiveness as an SVM parameter optimization algorithm.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115856299","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 Natural Language Understanding Model Based on Encoding Fusion For Power Marketing Indicator Answering 基于编码融合的电力营销指标应答自然语言理解模型

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/epce58798.2023.00011

Shiyu Xu, Hui Song, Renchang Wu, Junwei Shi

引用次数: 0

Research on Tibetan Speech Recognition Based on CNN-DFSMN-CTC 基于CNN-DFSMN-CTC的藏文语音识别研究

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/epce58798.2023.00044

Zhenye Gan, Zhenxing Kong, Min Zhang

{"title":"Research on Tibetan Speech Recognition Based on CNN-DFSMN-CTC","authors":"Zhenye Gan, Zhenxing Kong, Min Zhang","doi":"10.1109/epce58798.2023.00044","DOIUrl":"https://doi.org/10.1109/epce58798.2023.00044","url":null,"abstract":"In this paper, we present an improved acoustic model CNN-DFSMN , and it uses CNN to study local frequency domain and time domain features ,and introduces skip connections between memory blocks in adjacent layers, thus alleviating the problem of gradient disappearance when building very deep structures. In recent years, the acoustic model based on Connected Temporal Classification (CTC) has achieved good performance in speech recognition. Generally, lstm-type networks are used as acoustic models in CTC. However, LSTM calculation cost is high and sometimes it is hard to train CTC criteria. This paper, Be inspired by DFSMN's work, we replace LSTM with DFSMN in the acoustic modeling based on CCT, then combine convolution neural network (CNN) with this architecture to train an acoustic model based on CNN-DFSMN-CTC, match the acoustic model with the 3-gram language model, and combine dictionary and acoustic feature vector to identify and decode the recognition text. This further improves the performance of Tibetan speech recognition. The last experiment results show that the WER of DFSMN-CTC based methods is 2.34% and 0.94% higher than that of CNN-CTC based and LSTM-CTC based methods under the same test set. The recognition rate based on CNN-DFSMN-CTC is 3.52% and 2.23% higher than that based on DFSMN and DFSMN-CTC.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128629994","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