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2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)最新文献

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Deep learning-based hybrid detection model for false data injection attacks in smart grid 基于深度学习的智能电网虚假数据注入攻击混合检测模型
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10127988
Hang Yang, Ruijia Cao, Huan Pan, Jiayi Jin
{"title":"Deep learning-based hybrid detection model for false data injection attacks in smart grid","authors":"Hang Yang, Ruijia Cao, Huan Pan, Jiayi Jin","doi":"10.1109/ICPS58381.2023.10127988","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10127988","url":null,"abstract":"As a stealthy cyber attack, false data injection attack (FDIA) can bypass the traditional bad data detection module to threaten the security and economics of smart grids. The uncertainties of renewable energy, power loads, and network parameters perturbations can cause a lot of noise and errors in the measurement data. Therefore, this paper proposes an FDIA detection method combining the principal component analysis (PCA) and convolutional neural network (CNN) to improve the detection accuracy and speed. PCA achieves dimensionality and noise reductions of the high-dimensional characteristic measure-ment data and retains the original data's complete information. Inspired by deep learning research results, CNN is used as a classifier to perform translation-invariant classification on the dimensionality-reduced quantitative measurement data. Some simulation results on IEEE bus systems have been presented to show that the detection method proposed has high accuracy compared with other traditional strategies.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126401199","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
Output Feedback Sliding Mode Control for Nonlinear Vehicle Platoon Tracking with Multiplication Measurement Errors 具有乘法测量误差的非线性车辆队列跟踪的输出反馈滑模控制
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128060
Shihui Yang, Zongtao Zhang, Lei Zuo
{"title":"Output Feedback Sliding Mode Control for Nonlinear Vehicle Platoon Tracking with Multiplication Measurement Errors","authors":"Shihui Yang, Zongtao Zhang, Lei Zuo","doi":"10.1109/ICPS58381.2023.10128060","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128060","url":null,"abstract":"This paper investigates the nonlinear vehicle platoon tracking problems with multiplicative measurement errors. An output feedback sliding mode based platoon controller is proposed such that the vehicles can asymptotically converge to the desired platoon. To deal with the multiplicative measurement errors and the nonlinear terms of vehicle, a novel radial basis function neural network (RBFNN) based state observer is developed to estimate the relative vehicle states, in which only the vehicle positions are applied into this observer. Then, an output feedback sliding mode based platoon controller is proposed for these nonlinear vehicles. The stability and string stability of this platoon are both strictly analyzed. In final, numerical simulations are presented to illustrate the effectiveness of proposed approaches.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127153277","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
Adaptive Physical Access Detection against Ambient Temperature Variation 针对环境温度变化的自适应物理访问检测
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128089
An Zhou, Kexin Jiao, Famao Mei, Zhenwei Gu, Hao Huang, Yuanyi Bao, Yang Liu
{"title":"Adaptive Physical Access Detection against Ambient Temperature Variation","authors":"An Zhou, Kexin Jiao, Famao Mei, Zhenwei Gu, Hao Huang, Yuanyi Bao, Yang Liu","doi":"10.1109/ICPS58381.2023.10128089","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128089","url":null,"abstract":"With the rapid development of the new power system dominated by renewable energy, distributed energy re-source (DER) has been widely deployed. However, as DERs are geographically dispersed and lack of strict border supervision, adversaries can eavesdrop or inject false commands via physically attaching devices into the DER. This physical access attack is difficult to detect by traffic-based intrusion detection methods due to its reticence. The physical-characteristics-based method is promising for detecting this attack. However, its applicabil-ity in complex scenarios is limited. Especially, the change of ambient temperature will lead to the drift of devices' physical characteristics, thus reducing the accuracy rate. In this paper, we clarify that the temperature and physical access attack will both transform the impedance of underlying communication networks, which further changes the transmission signal's voltage. To distinguish the attack from temperature variation, we propose an adaptive physical access detection method based on sliding-window cumulative sum (CUSUM) algorithm. First, we extract the time-domain feature of the signals by segments. Then we use CUSUM to cumulate feature deviations at every time window. When the cumulative value exceeds the preset threshold, it indicates possible physical access attacks. Simulation results demonstrate that our proposed method could effectively detect physical access attacks under different ambient temperatures.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124045945","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
Effective Throughput Optimization of SAG Milling Process Based on BPNN and Genetic Algorithm 基于bp神经网络和遗传算法的SAG铣削加工有效吞吐量优化
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128031
Zhenhong Liao, Ce Xu, Wen Chen, Qifu Chen, Feng Wang, Jinhua She
{"title":"Effective Throughput Optimization of SAG Milling Process Based on BPNN and Genetic Algorithm","authors":"Zhenhong Liao, Ce Xu, Wen Chen, Qifu Chen, Feng Wang, Jinhua She","doi":"10.1109/ICPS58381.2023.10128031","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128031","url":null,"abstract":"Grinding is an energy-consuming process in mineral processing industry. Improving grinding processing capacity per unit power consumption is an effective means to reduce grinding production cost. In this paper, a new index for evaluating the effective processing throughput of SAG milling is proposed. The production process model is established by BP neural network (BPNN). Through combining the process mechanism and production constraints, the genetic algorithm is adopted to optimize the operating parameters of the SAG milling process to maximize the effective throughput, thus improving the grinding efficiency. The experimental results showed that through optimization of effective throughput function proposed in this paper, the SAG mill processing capacity has been increased by 4% and the operating power drawn reduced by 1.12%. It has important guiding significance for the actual production process.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114399666","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 testing and evaluation of USV formation control based on nonlinear dynamic inversion 基于非线性动态反演的USV地层控制测试与评价研究
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128071
Shun-Jie Li, Wentao Xue, Hui Ye, Hao Zhang
{"title":"Research on testing and evaluation of USV formation control based on nonlinear dynamic inversion","authors":"Shun-Jie Li, Wentao Xue, Hui Ye, Hao Zhang","doi":"10.1109/ICPS58381.2023.10128071","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128071","url":null,"abstract":"In this paper, a formation controller based on nonlinear dynamic inversion (NLDI) is proposed to maintain the formation of unmanned surface vehicles (USVs). The formation controller is designed to have an inner loop and outer loop. The desired heading angle and speed required for the inner loop of follower are obtained by NLDI algorithm. The performance of the designed formation controller is verified by the test results of USV formation sailing, and the NLDI algorithm can keep the formation stable by minimize the forward and lateral distance errors.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114526432","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
Similarity Analysis of Industrial Alarm Floods Based on Word Embedding and Move-Split-Merge Distance 基于词嵌入和移动分割合并距离的工业报警洪水相似度分析
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128020
Xiangxiang Zhang, Wenkai Hu, Ahmad W. Al-Dabbagh, Weihua Cao
{"title":"Similarity Analysis of Industrial Alarm Floods Based on Word Embedding and Move-Split-Merge Distance","authors":"Xiangxiang Zhang, Wenkai Hu, Ahmad W. Al-Dabbagh, Weihua Cao","doi":"10.1109/ICPS58381.2023.10128020","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128020","url":null,"abstract":"In industrial facilities, alarm systems are essential for process monitoring. However, due to the simplicity of alarm configuration and the poor performance of the alarm system, alarm floods often happen. Similarity analysis of alarm floods compares alarm flood sequences to look for common patterns. These patterns can offer information that is helpful in identifying root causes of alarm floods. Existing methods for alarm flood similarity analysis can only conduct similarity measures based on match operations for alarms represented by text strings; as a result, the match operations ignore the correlations between alarm occurrences. In this work, a new alarm flood similarity analysis method based on word embedding and Move-Split-Merge (MSM) distance is proposed, in order to reveal sequence similarity from a new perspective. The contributions are mainly twofold: 1) The correlations of alarm occurrences are considered in the alarm encoding via word embedding; 2) The MSM distance is calculated to analyze the similarity of alarm flood sequences of different lengths. Then, clustering results are compared with the original true labels of the alarm floods. The effectiveness of the proposed method is demonstrated by a case study with alarm data generated by a public industrial model of the Vinyl Acetate Monomer process.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134487572","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
Sliding window-based real-time remaining useful life prediction for milling tool 基于滑动窗口的铣刀剩余使用寿命实时预测
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128005
Chen Tong, Qing Zhu, Yucheng Feng, Yaonan Wang
{"title":"Sliding window-based real-time remaining useful life prediction for milling tool","authors":"Chen Tong, Qing Zhu, Yucheng Feng, Yaonan Wang","doi":"10.1109/ICPS58381.2023.10128005","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128005","url":null,"abstract":"Traditional remaining useful life (RUL) prediction methods do not make full use of the time-series information of the sensor monitoring data, hence the prediction accuracy can not be satisfied. To deal with this issue, a real-time RUL prediction method of tool based on sliding windows is proposed in this paper. First, the time-frequency domain features are extracted from multi-channel signals collected by sensors. Considering the influence of the previous wear value data, the tool wear value data is extracted in the form of sliding windows and being put into the long short-term memory (LSTM) network together with the time-frequency domain features for model training. Finally, in the prediction stage, we similarly extract the tool wear value data using the previous predicted wear values instead of the real wear values. In this manner, the real-time RUL prediction of tools is achieved. IEEE PHM 2010 challenge data has been used to validate the effectiveness of the method. The main advantage of the method is that the time-series characteristic of the data is considered, hence the prediction accuracy is improved and real-time prediction is achieved.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130191163","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
An Input Module of Deep Learning for the Analysis of Time Series with Unequal Length 非等长时间序列分析的深度学习输入模块
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128044
Hewei Gao, Xin Huo, Chao Zhu
{"title":"An Input Module of Deep Learning for the Analysis of Time Series with Unequal Length","authors":"Hewei Gao, Xin Huo, Chao Zhu","doi":"10.1109/ICPS58381.2023.10128044","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128044","url":null,"abstract":"Deep learning, particularly deep neural networks, has received increasing interest in time series classification, and several deep learning methods have been proposed recently. However, most of these algorithms are designed for time series with equal length, while clustering of time series with unequal length is often encountered in real-world problems. This paper proposes an input module of deep learning, transforming time series with unequal length into a warping matrix processed by neural network for training. The trajectory warping matrix is generated by DTW algorithm according to the similarity difference of time series. The Gaussian blur iterative algorithm is introduced to converted from the warping matrix of any size to equal dimension. The effectiveness of the proposed input module combined with some advanced neural networks are assessed based on the CWRU dataset. Overall, the analysis shows that the input module assists the depth learning to classify time series with unequal length accurately.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122081317","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
Literature Survey on Manufacturing Shop Floor Performance Measurements: Frameworks, Models, and Categorizations 制造业车间绩效测量的文献综述:框架、模型和分类
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128010
Abdul Rehan Khan Mohammed, Jiayi Zhang, Benjamin Silverstone, Ahmad Bilal
{"title":"Literature Survey on Manufacturing Shop Floor Performance Measurements: Frameworks, Models, and Categorizations","authors":"Abdul Rehan Khan Mohammed, Jiayi Zhang, Benjamin Silverstone, Ahmad Bilal","doi":"10.1109/ICPS58381.2023.10128010","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128010","url":null,"abstract":"In the era of globalization, manufacturing industries need to monitor their manufacturing operations acutely to remain competitive. Manufacturing industries in the present time have realized the significance of shop floor data analysis. They are implementing performance measurement systems to continually assess and improve the operational state of manufacturing operations. These systems encompass frameworks, models and categorizations, which can enumerate the effectiveness, competence, efficiency, and proficiency of manufacturing processes. There is a lack of understanding about these frameworks, models and categorizations by the manufacturers. This deficiency typically leads to failures in reporting and monitoring critical performance measures, with resultant losses to achieve key business objectives. This paper presents a literature survey on manufacturing shop floor performance measurements: their framework, model, and categorization.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133822781","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
Interference Suppression of Circulating Current Fluctuation Based on Equivalent Input Disturbance in Parallel Inverters 基于等效输入扰动的并联逆变器循环电流波动干扰抑制
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10127996
Zili Tao, Bo Hu, Meng Ye, Min Ding
{"title":"Interference Suppression of Circulating Current Fluctuation Based on Equivalent Input Disturbance in Parallel Inverters","authors":"Zili Tao, Bo Hu, Meng Ye, Min Ding","doi":"10.1109/ICPS58381.2023.10127996","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10127996","url":null,"abstract":"The circulating current in the microgrid inverter parallel system has an impact on how well it functions, and frequent fluctuations in the circulating current will compromise the microgrid's stability. A multi-inverter parallel circulating current suppression technique based on equivalent-input-disturbance (EID) is developed in order to address the poor effect of restricting the circulating current when the double closed-loop PI control is disrupted. First, the inverter's parallel structure model is established, and the circulating current mechanism is examined. One type of disturbance is the fluctuation in the circulation current. EID technique suppresses circulating current fluctuation, which in turn suppresses circulating current effect. Finally, the effectiveness of the proposed control strategy in the case of parallel inverter is verified by MATLAB/SIMULINK simulation.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116392181","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
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