2023 IEEE 6th International Electrical and Energy Conference (CIEEC)最新文献_第8页

Lifetime Prediction of Composite Insulator Based on BP Neural Network 基于BP神经网络的复合绝缘子寿命预测

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10167095

Yuan Du, Yahua Cao, Yixian Fu, Xiangtao Song, Tianyang Li

引用次数: 0

Fault traveling wave location method based on EMD and improvement threshold denoising 基于EMD和改进阈值去噪的故障行波定位方法

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10166846

Bai Hao, Li Wei, Cai Jianyi, Zeng Xiangjun, Jiang Zhuang, Yu Kun, Zhong Zhenxin, Pan Shuhui, Yao Ruotian

引用次数: 0

Deep Integration and Learning of Measurement Data in Active Distribution Power Networks for Load Flow Estimation Considering Incomplete Information 考虑不完全信息的有功配电网测量数据深度集成与学习

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10166257

R. Diao, Aihua Zhou, Ruiyuan Zeng, Anqi Wang, Xiaofeng Shen, Jingde Shun, Hua Gu

引用次数: 0

Diagnosing Sliding Bearing Failures using the Frequency Domain Integration and PCA Methodology 使用频域积分和主成分分析方法诊断滑动轴承故障

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10166285

Chuan Peng, Lingyan Lin, Z. Lei

{"title":"Diagnosing Sliding Bearing Failures using the Frequency Domain Integration and PCA Methodology","authors":"Chuan Peng, Lingyan Lin, Z. Lei","doi":"10.1109/CIEEC58067.2023.10166285","DOIUrl":"https://doi.org/10.1109/CIEEC58067.2023.10166285","url":null,"abstract":"Given the difficulty of the fault diagnosis of sliding bearings in induction motors, this paper designs a fault diagnosis method of the sliding bearing based on frequency domain integration and principal component analysis (PCA) algorithm. Taking the acceleration signal of the actual faulty motor bearing as an example, the displacement signal was obtained by frequency domain integration. The direct plotting of the axis trajectory led to a confused graph making it difficult to identify the fault. Then, the raw displacement signal was denoised by using the PCA-based signal denoising algorithm, and the axis trajectory was redrawn using the denoised displacement signal. The results showed that the purified axis trajectory is clear and the features are obvious, and the evident rotor misalignment fault of the motor can be identified. Compared with the denoising method of clustering ensemble empirical mode decomposition (EEMD) and empirical wavelet transform (EWT), the method presented in this paper can obtain a clearer axis trajectory, which helps to realize the diagnosis of motor sliding bearing faults.","PeriodicalId":185921,"journal":{"name":"2023 IEEE 6th International Electrical and Energy Conference (CIEEC)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130789221","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

Temperature rise calculation of synchronous reluctance motors based on the LPTN 基于LPTN的同步磁阻电机温升计算

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/cieec58067.2023.10167408

Hongye Wei, Xiuhe Wang, Lixin Xiong, Xin Zhang

引用次数: 0

Temperature rise distribution characteristics of C3F7CN/CO2 gas-insulated transmission pipeline considering heat source variation 考虑热源变化的C3F7CN/CO2气体绝热输送管道温升分布特征

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10167396

Hao Xu, Yuanbo Xu, Yanyu Liang, Shaocong Wu, Geng Chen, Y. Tu

{"title":"Temperature rise distribution characteristics of C3F7CN/CO2 gas-insulated transmission pipeline considering heat source variation","authors":"Hao Xu, Yuanbo Xu, Yanyu Liang, Shaocong Wu, Geng Chen, Y. Tu","doi":"10.1109/CIEEC58067.2023.10167396","DOIUrl":"https://doi.org/10.1109/CIEEC58067.2023.10167396","url":null,"abstract":"The traditional insulating gas SF6 is listed as a greenhouse-gas in the Kyoto protocol, and regulatory measures for the use of $mathbf{SF}_6$ have been implemented in a variety of industries. $mathbf{SF}_{6}/mathbf{N}_{2}$ and $mathbf{C}_{3}mathbf{F}_{7}mathbf{CN}/mathbf{CO}_{2}$ gas mixtures are environmentally friendly gas insulation partial replacement and complete replacement solutions with good application prospects, but they have higher operating temperature rise compared to GIL equipment with $mathbf{SF}_6$ gas, which can affect the design of the equipment's current capacity and operational safety. In this paper, high current temperature rise experiments were conducted using genuine GIL to obtain the temperature rise of key locations inside the GIL under $mathbf{SF}_6$ gas, $mathbf{SF}_{6}/mathbf{N}_{2}$ and $mathbf{C}_{3}mathbf{F}_{7}mathbf{CN}/mathbf{CO}_{2}$. It is found that the highest temperature rise inside the GIL is at the conductive spring, and is greatest when the gas is $mathbf{C}_{3}mathbf{F}_{7}mathbf{CN}/mathbf{CO}_{2}$, reaching 60.77°C. In addition, considering the non-uniform axial distribution of temperature rise caused by the variation of heat source due to different internal structure of GIL, the temperature distribution of high-voltage conductor and conductive spring cross-section is simulated and calculated, and the comparison with experimental results is verified. The results of this study provide a reference for the engineering application of environmentally friendly hybrid insulating gases $mathbf{SF}_{6}/mathbf{N}_{2}$ and $mathbf{C}_{3}mathbf{F}_{7}mathbf{CN}/mathbf{CO}_{2}$.","PeriodicalId":185921,"journal":{"name":"2023 IEEE 6th International Electrical and Energy Conference (CIEEC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133371489","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 Control Strategy for Wide-Voltage Output CLLC Converter in On-Board Chargers 车载充电器中宽电压输出CLLC变换器的控制策略

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10166355

Zhouyu Wu, Peng Chen, Ziheng Yuan, Zhiqing Yang, Shuang Zhao, Helong Li, Xiaozhou Wang, Lijian Ding, Dama Tang, Wei Huo

引用次数: 0

High Performance Sensorless Control Strategy of IPMSM Drives Based on High Frequency Square-Wave Voltage Injection 基于高频方波电压注入的IPMSM驱动器的高性能无传感器控制策略

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10166571

Yuan Cheng, Pingtailei Lv, Bochao Du, S. Cui

引用次数: 0

Mechanical remaining Life Prediction of Circuit Breaker based on long-term and short-term memory Neural Network 基于长短期记忆神经网络的断路器机械剩余寿命预测

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10167006

Cao Pei, Liao Jiahao, Han Yili, Shi Shifeng, Wang Qingyu, Peng Zongren, Zhou Guliang

{"title":"Mechanical remaining Life Prediction of Circuit Breaker based on long-term and short-term memory Neural Network","authors":"Cao Pei, Liao Jiahao, Han Yili, Shi Shifeng, Wang Qingyu, Peng Zongren, Zhou Guliang","doi":"10.1109/CIEEC58067.2023.10167006","DOIUrl":"https://doi.org/10.1109/CIEEC58067.2023.10167006","url":null,"abstract":"The prediction of the residual life of the mechanical operating mechanism of the circuit breaker is of great significance for the real-time evaluation of the working state of the circuit breaker and the management, operation and maintenance of the transmission and distribution system. In this paper, a method for predicting the remaining service life of circuit breaker is established based on grey correlation analysis(GRA) and long-term and short-term memory neural network(LSTM). Firstly, the mechanical characteristic parameters such as overrun, opening distance and synchronous opening and closing of the operating mechanism are screened by GRA, and the characteristic variables which are strongly related to the number of actions of the circuit breaker are obtained. Furthermore, the characteristic variables obtained are used as the input of the LSTM prediction model to predict the remaining life of the circuit breaker. The example shows that the accuracy of the prediction model can reach 95% or more. This study can provide reference for the management, operation and maintenance of circuit breakers.","PeriodicalId":185921,"journal":{"name":"2023 IEEE 6th International Electrical and Energy Conference (CIEEC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128884764","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 High Performance Control Method for IPMSM Based on Lookup Tables Considering the System Nonlinearalities 考虑系统非线性的基于查找表的IPMSM高性能控制方法

2023 IEEE 6th International Electrical and Energy Conference (CIEEC) Pub Date : 2023-05-12 DOI: 10.1109/CIEEC58067.2023.10167384

Shouchuan Chen, Xinhong Hao, Congzhe Gao

引用次数: 0