2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)最新文献_第4页

Optimal Scheduling of HESS for FTPSS Considering HESS Degradation Cost 考虑HESS退化代价的FTPSS HESS优化调度

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516323

Z. Liang, Minwu Chen, Jinyu Zhao, Diwen Xiao, Xin Gong, Dingwei Zhao

引用次数: 0

Low-Frequency Oscillation Analysis of Train-Network System with Different Types of Trains Connected 不同类型列车连接的列车网络系统低频振荡分析

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516148

Rui Kong, Xiaoqin Lv, Xiaoru Wang

引用次数: 1

Adaptive Terminal Sliding Mode Control for Magnetic Levitation System With Observer 带观测器的磁悬浮系统自适应终端滑模控制

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516217

W. Feng, Jianhua Hao, Sen Wang, Xianchao Ma, Xicong Sun, Yongzhi Jing

引用次数: 0

[Front matter] (前页)

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/iciea51954.2021.9516064

引用次数: 0

Adhesion Control of High Speed Train Based on Vehicle-control System 基于车辆控制系统的高速列车附着控制

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516096

Song Wang, Xiong Wang, Jingchun Huang, P. Sun, Qingyuan Wang

引用次数: 0

Visual Measurement of Levitation Gap in Maglev Ball System Based on Pixel Area 基于像素面积的磁悬浮球系统悬浮间隙视觉测量

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516065

Yifei Li, Zhifei Zhang, Guoheng Jing, Xianchao Ma, Jie Kong, Yongzhi Jing

{"title":"Visual Measurement of Levitation Gap in Maglev Ball System Based on Pixel Area","authors":"Yifei Li, Zhifei Zhang, Guoheng Jing, Xianchao Ma, Jie Kong, Yongzhi Jing","doi":"10.1109/ICIEA51954.2021.9516065","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516065","url":null,"abstract":"The levitation control system is a key part of maglev train. The measurement of levitation gap plays an important role in the suspension system. Traditional gap sensors have some disadvantages such as high power supply voltage, temperature influence and measurement distance limitation. In this paper, a method is designed on visual measurement of levitation gap. The maglev ball system is taken as the research object. We first obtain the original high-definition images of the ROI(region of interest) in the levitation gap. Then, the pixel area in the ROI of levitation gap is obtained by calculating the number of pixel points whose results are “1” in the binarization image. Finally, the pixel area is calibrated with the actual gap distance and the actual gap distance is calculated. This method calculates the actual gap according to the image pixel area in the ROI of levitation gap. It has high measuring accuracy and strong anti-interference ability, which could effectively remove the asymmetric interference in the ROI of levitation gap, locating and alarming the interfered fault position.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"54 1","pages":"1417-1420"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90761602","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

Robust Filtering of Affine-Projection-Like Maximum Correntropy Algorithm with Bias-Compensated 带偏差补偿的仿射投影最大熵算法的鲁棒滤波

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516104

Wang Xiang, Haiquan Zhao

引用次数: 2

Robust Impedance Reshaping of Multiple Ongrid Inverters regarding Variable Grid Conditions 可变电网条件下多电网逆变器的鲁棒阻抗重构

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516152

Xiaolei Yang, Weibin Yin, Lin Ye, Huang Tao, Zhiwei Bian, Yuanbin He, L. Hang, Qiguo Han

引用次数: 0

The early prediction of lithium-ion battery remaining useful life using a novel Long Short-Term Memory network 基于长短期记忆网络的锂离子电池剩余使用寿命早期预测

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516254

Meng Zhang, Lifeng Wu, Zhen Peng

{"title":"The early prediction of lithium-ion battery remaining useful life using a novel Long Short-Term Memory network","authors":"Meng Zhang, Lifeng Wu, Zhen Peng","doi":"10.1109/ICIEA51954.2021.9516254","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516254","url":null,"abstract":"Accurate prediction of the lithium-ion battery remaining useful life can effectively manage the lithium-ion battery health. Using the early cycle data to predict the remaining useful life can reduce consumption and detect battery failures earlier, but it is still a great challenge due to weak and high dimensional nonlinear feature data of the early cycle. In order to solve this issue, this paper proposes a Long Short-Term Memory (LSTM) model that combines the idea of Broad Learning System (BLS), called BLS-LSTM, to accurately forecast the lithium-ion battery remaining useful life by using early cycle data. Firstly, according to the BLS idea, more effective feature nodes are obtained by performing mapping operations and enhancement operations on input features. Secondly, the characteristic nodes are input into the LSTM as new input nodes to predict the remaining useful life of the lithium-ion battery. Finally, the proposed model is validated with different early cycle data and compared with other methods. The results show that the BLS-LSTM model has better prediction performance and higher accuracy in the early prediction of the remaining useful life.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"69 1","pages":"1364-1371"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89786711","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

Histogram-based Fuzzy C-Means Clustering for Image Binarization 基于直方图的模糊c均值聚类图像二值化

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516141

Shun Fang, Xin Chang, Shiqian Wu

引用次数: 0