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2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)最新文献

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Research Status and Challenges of Deep Learning-Based Remaining Useful Life Prediction of Equipment 基于深度学习的设备剩余使用寿命预测研究现状与挑战
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778343
Ju Sun, Lehui Zheng, Ying Huang
{"title":"Research Status and Challenges of Deep Learning-Based Remaining Useful Life Prediction of Equipment","authors":"Ju Sun, Lehui Zheng, Ying Huang","doi":"10.1109/ICSP54964.2022.9778343","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778343","url":null,"abstract":"With the development of modern science and technology, aviation, aerospace, satellite and other equipment are developing in the direction of high reliability, safety and stability, which puts forward higher requirements for the performance of components. In order to ensure the normal operation of complex equipment, the remaining useful life (RUL) prediction technology has been widely concerned by researchers. Deep learning emerging in recent years has powerful data processing capabilities and feature expression capabilities, realizing autonomous learning of model parameters and providing accurate RUL prediction results. In view of this, four typical deep learning methods applied to RUL prediction are analyzed and elaborated in detail, and the research status of each method is combed. Then the corresponding advantages and disadvantages are sorted out through experiments. Finally, the future research directions of deep learning-based RUL prediction are discussed.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130886310","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
Research on Beamspace Adaptive Digital Beamforming Algorithm and FPGA Implementation 波束空间自适应数字波束形成算法研究及FPGA实现
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778344
Ming Lu, Chaoyu Wang, Songpo Jin, Rongqing Zhu, Jingrong Zhang, Hongtao Li
{"title":"Research on Beamspace Adaptive Digital Beamforming Algorithm and FPGA Implementation","authors":"Ming Lu, Chaoyu Wang, Songpo Jin, Rongqing Zhu, Jingrong Zhang, Hongtao Li","doi":"10.1109/ICSP54964.2022.9778344","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778344","url":null,"abstract":"Full adaptive digital beamforming (ADBF) has high adaptive degree of freedom (ADOF), but when the number of array elements is large, the amount of calculation is large and the convergence is slow. To balance the contradiction between ADOF and algorithm complexity, the algorithm implementation of two-dimensional array adaptive minimum variance distortionless response digital beamformer based on beamspace is given. Then the hardware structure and signal processing flow of the processing system are introduced, and the detailed FPGA module design is given. Finally, computer simulation and FPGA verification results show that the beamspace ADBF algorithm can achieve good performance under the computational complexity that can be realized in engineering, and has high engineering application value.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126883340","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
Fault Detection For Automatic Guided Vehicles Based on The Two-tower Model 基于双塔模型的自动导向车辆故障检测
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778758
Xiao-lei Ding, Dong-dong Zhang, Liangang Zhang, Lei Zhang, Changjiang Zhang, Bin Xu
{"title":"Fault Detection For Automatic Guided Vehicles Based on The Two-tower Model","authors":"Xiao-lei Ding, Dong-dong Zhang, Liangang Zhang, Lei Zhang, Changjiang Zhang, Bin Xu","doi":"10.1109/ICSP54964.2022.9778758","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778758","url":null,"abstract":"Automated Guided Vehicle (AGV) is one of the most important automation equipment in Automated Container Terminal (ACT), the normal operation of AGV equipment plays a vital role in maintaining high efficiency and quality operation of ACT. In this paper, We propose an end-to-end fault detection algorithm for AGV equipment that obtains both spatially regular and temporally dimensional features from the sensor data, which introduces a two-tower model structure for fault detection. The attention network is used to learn the key variables in the sensor data, and the LSTM network is combined to learn the temporal dimensional features in the data to construct a two-tower model for fault detection. In addition, we provide a real dataset from AGV at Qingdao port container terminals to evaluate the effectiveness of the algorithm. The experimental results show that this algorithm outperforms better than existing methods in terms of classification performance, and can achieve 98.83% accuracy.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123049000","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 Intelligent Speed Regulation System of Switched Reluctance Motor Based on Fuzzy Control 基于模糊控制的开关磁阻电机智能调速系统研究
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778495
Tao Xun, Hongrui Zhang
{"title":"Research on Intelligent Speed Regulation System of Switched Reluctance Motor Based on Fuzzy Control","authors":"Tao Xun, Hongrui Zhang","doi":"10.1109/ICSP54964.2022.9778495","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778495","url":null,"abstract":"This article introduces a switched reluctance motor speed control system based on fuzzy control, focusing on the improvement of the control performance of the speed control system by fuzzy control. This paper uses SIMULINK to simulate the speed control system. By introducing a fuzzy controller based on Mandani fuzzy control rules between the speed outer loop and the current inner loop of the built-up switched reluctance motor speed control system model, the speed fluctuation range of noload start is reduced from 3.2% to 2.3%o, the torque fluctuation range is reduced by 11.122%, and the current fluctuation range is greatly reduced. Compared with the speed control system under the traditional PI control, the control performance of the speed control system after the introduction of fuzzy control has been significantly improved.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126490267","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 Persymmetric Subspace Detector for Distributed Target 分布式目标的自适应超对称子空间检测器
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778232
Zikeng Xie, T. Jian, Guangfen Wei, Xiaodong Huang, Zhuo Tong
{"title":"Adaptive Persymmetric Subspace Detector for Distributed Target","authors":"Zikeng Xie, T. Jian, Guangfen Wei, Xiaodong Huang, Zhuo Tong","doi":"10.1109/ICSP54964.2022.9778232","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778232","url":null,"abstract":"In this paper, we deal with the problem of adaptive detection for distributed target in homogeneous Gaussian clutter with unknown persymmetric covariance. The distributed target is located in a multi-rank subspace and its coordinates are unknown. We devise a persymmetric subspace detector by utilizing the one-step Rao criteria. Ultimately, the numerical results show that, the proposed detector is constant false alarm rate (CFAR) with respect to unknown clutter covariance matrix. Moreover, it also has the edge on detection performance by comparing with the existing unstructured detectors, especially in training-limited scenarios.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"343 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114097502","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 New Energy Vehicle Sales Problem Based on Improved Gray Correlation and BP Neural Network 基于改进灰色关联和BP神经网络的新能源汽车销售问题研究
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778827
Junhao Wu, Wanyang Zuo
{"title":"Research on New Energy Vehicle Sales Problem Based on Improved Gray Correlation and BP Neural Network","authors":"Junhao Wu, Wanyang Zuo","doi":"10.1109/ICSP54964.2022.9778827","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778827","url":null,"abstract":"New energy vehicles are an important development direction for the global automotive industry in the 21st century, and their sales are closely related to China's sustainable development strategy. However, compared with traditional cars, consumers still have some doubts about new energy vehicles, and their marketing needs scientific decisions. Thus, it is essential to establish a customer mining model for new energy vehicles. This paper takes three newly launched brands of new energy vehicles as research objects and establishes a customer mining model for new energy vehicles based on improved gray correlation and BP neural network with the customer satisfaction scores of each performance of the three new energy vehicles as indicators. The experimental results show that the coefficients of determination for the three models are 0.99488, 0.99317 and 0.99525，respectively, which reach the expected accuracy. This model can provide some reference and practical significance for the sales strategy of new energy vehicles.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114177272","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 Spectrum Intelligent Monitoring Application Microservice Architecture Based on Docker 基于Docker的频谱智能监控应用微服务体系结构研究
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778659
Ding Wang, Jianyun Chen, Yongbin Zhou, Jinzhao She
{"title":"Research on Spectrum Intelligent Monitoring Application Microservice Architecture Based on Docker","authors":"Ding Wang, Jianyun Chen, Yongbin Zhou, Jinzhao She","doi":"10.1109/ICSP54964.2022.9778659","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778659","url":null,"abstract":"The spectrum intelligent monitoring technology based on deep learning can reduce the artificial interference factors of spectrum monitoring and significantly improve the real-time performance and accuracy of spectrum monitoring. However, due to the complex operating environment of deep learning algorithms and the variety of deep learning frameworks, the deployment and transplantation of spectrum monitoring applications are more difficult. This paper proposes a docker-based spectrum intelligent monitoring application microservice architecture, which is mainly divided into spectrum monitoring resource layer, spectrum monitoring resource service layer and spectrum monitoring resource service layer. Docker is used to encapsulate the spectrum monitoring algorithm based on deep learning, and Kubernetes is used for unified arrangement and deployment, which simplifies the deployment and migration of the spectrum monitoring algorithm and improves the efficiency of spectrum monitoring.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"1217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131394992","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
A Multiplierless Parallel Digital Down Converter for High Resolution Spaceborne SAR 一种用于高分辨率星载SAR的无乘法器并行数字下变频器
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778711
Jia Sun, Ruohan Hou, H. Dang
{"title":"A Multiplierless Parallel Digital Down Converter for High Resolution Spaceborne SAR","authors":"Jia Sun, Ruohan Hou, H. Dang","doi":"10.1109/ICSP54964.2022.9778711","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778711","url":null,"abstract":"High resolution spaceborne SAR has unique advantages in target recognition and earthquake rescue due to its refined description of target characteristics. The resolution is developing from the meter level to the decimeter level, which brings a huge increase in signal bandwidth. The traditional analog demodulation or serial digital down-conversion processing methods are no longer suitable for the needs. In addition, the limited scale of the onboard digital processing chip makes it impossible to simply copy the serial processing into a multichannel parallel mode. In this paper, a novel digital down converter is designed according to the band-pass sampling theorem and the fast finite impulse response algorithm (FFA) combined with the characteristics of the spaceborne digital processing chip. Compared with the traditional method, the resource consumption of the proposed method is obviously improved. With the increase of the signal bandwidth, this advantage is more obvious. The proposed method is suitable for high-resolution spaceborne SAR, large bandwidth millimeter wave radar, etc.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130194820","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 real-time spectrum data compression method based on character encoding 一种基于字符编码的实时频谱数据压缩方法
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778574
mingsheng zhou, Binbin Deng, Mingming Kong, Ye Yuan
{"title":"A real-time spectrum data compression method based on character encoding","authors":"mingsheng zhou, Binbin Deng, Mingming Kong, Ye Yuan","doi":"10.1109/ICSP54964.2022.9778574","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778574","url":null,"abstract":"Spectrum data is the main research object in the field of radio management, its storage and processing are the key process for radio monitoring. In view of the scanning frequency spectrum has high redundancy, we propose a real-time spectrum data compression method based on UTF-8 coding. This method aims at reducing storage consumption and excessive network load without affecting spectrum data analysis. Considering the similarity between spectrum data, a multi-threshold controlled matching algorithm is designed to pick out the typical spectrum sets represent all spectral data of each signal. Then replace all the original spectrum with a small amount of data to achieve the purpose of compressing. We have verified its effectiveness in several bands, and the results show that this method has good compression effect and low recovery distortion. In particular, the compression ratio is close to 1% at low frequency occupation.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128025176","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
Avoidance of no-fly zone for Hypersonic Vehicle based on Adaptice Radau Pseudospectral Method 基于自适应Radau伪谱法的高超声速飞行器禁飞区规避
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2022-04-15 DOI: 10.1109/ICSP54964.2022.9778519
Ruocen Tian, Qingzhen Zhang, Langfu Cui, Yue Yu
{"title":"Avoidance of no-fly zone for Hypersonic Vehicle based on Adaptice Radau Pseudospectral Method","authors":"Ruocen Tian, Qingzhen Zhang, Langfu Cui, Yue Yu","doi":"10.1109/ICSP54964.2022.9778519","DOIUrl":"https://doi.org/10.1109/ICSP54964.2022.9778519","url":null,"abstract":"Aiming at the reentry trajectory planning of hypersonic vehicle, considering the constraints of no fly zone in the process, the reentry guidance scheme is designed based on the adaptive Radau pseudospectrum method; Firstly, the kinematic equations and various constraint models of the reentry section are established. Taking the minimum heat flow and trajectory oscillation in the reentry process as the optimization objective, the control and state variables are discretized by radau pseudo spectrum method, and the reentry trajectory planning problem is transformed into a nonlinear programming problem. Numerical simulation is carried out to verify the effectiveness of the method. The simulation results show that the method can plan the reentry trajectory that meets the constraints of process and no fly zone, and can provide useful support for reentry guidance of hypersonic vehicles.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132811687","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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