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2022 International Conference on Control, Automation and Diagnosis (ICCAD)最新文献

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Cross-Domain Anomaly Detection using Unsupervised Representation Learning and Domain Adaption 基于无监督表示学习和领域自适应的跨领域异常检测
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 2022-07-13 DOI: 10.1109/ICCAD55197.2022.9853881
ZhiLei Shao, Huailiang Zheng, Xueqian Wang, Bin Liang
{"title":"Cross-Domain Anomaly Detection using Unsupervised Representation Learning and Domain Adaption","authors":"ZhiLei Shao, Huailiang Zheng, Xueqian Wang, Bin Liang","doi":"10.1109/ICCAD55197.2022.9853881","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853881","url":null,"abstract":"Aiming at the urgent demands of industrial fault detection, cross-domain detection is a promising strategy for overcoming the obstacle of the premise of data identical-distribution. This paper proposes a cross-domain anomaly detection method based on unsupervised representation learning and domain adaptation. In order to learn effective features from the original signals, the multidimensional scale loss and an improved instance-based discriminative loss are combined. The first one is for retaining structural information of the data and the second one is for obtaining domain-invariant characteristic. The proposed method is validated in two detection cases including manipulator and bearing. Detection results show that the proposed method has superior performance than several widely used detection methods.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130811074","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
Assured Voice Communications for Railway Operations 铁路营运话音通讯保障
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 2022-07-13 DOI: 10.1109/ICCAD55197.2022.9853863
V. Trifonov, E. Pencheva, I. Atanasov
{"title":"Assured Voice Communications for Railway Operations","authors":"V. Trifonov, E. Pencheva, I. Atanasov","doi":"10.1109/ICCAD55197.2022.9853863","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853863","url":null,"abstract":"Railway communication networks must provide highly reliable, robust, and predictable services for both railway operations and passengers. Mission critical voice applications used for ground-to-ground communications, shunting communications and banking communications demand assured communication links. Current fifth generation (5G) mobile networks can provide the required quality of service. In this paper, a new assured voice communication service is proposed that may be used by different railway applications. The service enables communication link supervision and provides indications to all users involved in the call about the connectivity quality. The service is described by typical use cases and the supported application programming interfaces. Models representing the assured voice communication status are developed, formally described, and verified. Service implementation aspects are discussed.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123616000","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
Tire Pressure Monitoring using Weighted Horizontal Visibility Graphs 使用加权水平可视性图监测轮胎压力
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 2022-07-13 DOI: 10.1109/ICCAD55197.2022.9853892
Jonas Schmidt
{"title":"Tire Pressure Monitoring using Weighted Horizontal Visibility Graphs","authors":"Jonas Schmidt","doi":"10.1109/ICCAD55197.2022.9853892","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853892","url":null,"abstract":"Tire pressure monitoring systems have been proven to reduce fuel consumption and increase driver safety. Today, direct measuring systems are installed in the car, which measure the tire pressure with sensors inside the tire, or indirect systems, which detect a drop in tire pressure through the relative change in the wheel speed. This work proposes a novel way of detecting tire pressure conditions by transforming the vibration data of chassis components into a weighted horizontal visibility graph. Graph features are extracted from this representation to serve as input to an XGBoost classifier. Drives on a test track with tri-axial accelerometers on the upper control arm with low and normal tire pressure are performed to evaluate the method. The results indicate that the proposed method classifies the reduced tire pressure with high precision while also allowing changes in tire pressure to be detected quickly.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129626512","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
Oracle for Guidance with Deep Neural Networks in Reusable Launch Vehicle Landing* 用深度神经网络引导可重复使用运载火箭着陆的Oracle *
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 2022-07-13 DOI: 10.1109/ICCAD55197.2022.9854017
J. M. Igreja, J. M. Lemos
{"title":"Oracle for Guidance with Deep Neural Networks in Reusable Launch Vehicle Landing*","authors":"J. M. Igreja, J. M. Lemos","doi":"10.1109/ICCAD55197.2022.9854017","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9854017","url":null,"abstract":"Oracles are of paramount importance for Deep Neural Networks training. In this paper, an oracle developed for landing reusable launch vehicles is created from a linearizing feedback control law that can perform a prescribed landing trajectory tracking. The oracle is then used to train a Deep Neural Network that can be used as a guidance system for landing maneuvers. Verification is performed by Monte-Carlo.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125366839","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
Improved Least-Square DV-Hop Algorithm for Localization in large scale wireless sensor network 大规模无线传感器网络中改进的最小二乘DV-Hop定位算法
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 2022-07-13 DOI: 10.1109/ICCAD55197.2022.9853952
Rahma Mani, J. Sevillano, N. Liouane
{"title":"Improved Least-Square DV-Hop Algorithm for Localization in large scale wireless sensor network","authors":"Rahma Mani, J. Sevillano, N. Liouane","doi":"10.1109/ICCAD55197.2022.9853952","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853952","url":null,"abstract":"Certain applications of wireless sensor networks require that the sensor nodes should be aware of their position relative to the sensor environment. Generally in the applications of positioning in the internet of things (IoT), there is a deficiency of localization precision and concrete results. It is really important to maintain high-efficient localization schemes for the Internet of things, especially for wireless sensor networks. For that, an improved DV-hop algorithm is proposed in this paper to move for more accurate results based on the least square method. Therefore, the weight coefficient is calculated between an anchor node and the other anchor nodes using the mean square method. Then, this weighting coefficient, the hop size, will be applied between the unknown nodes and the anchor nodes in order to determine the distances. The computed hop-size average significantly enhances the positioning accuracy which is approved by the experiments that explain how suitable this improved Last-Square DV-hop Algorithm is for localization in WSN.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127071653","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
Ensemble Machine Learning Algorithms for Anomaly Detection in Multivariate Time-Series 多元时间序列异常检测的集成机器学习算法
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 2022-07-13 DOI: 10.1109/ICCAD55197.2022.9853995
Youssef Trardi, B. Ananou, Philip Tchatchoua, M. Ouladsine
{"title":"Ensemble Machine Learning Algorithms for Anomaly Detection in Multivariate Time-Series","authors":"Youssef Trardi, B. Ananou, Philip Tchatchoua, M. Ouladsine","doi":"10.1109/ICCAD55197.2022.9853995","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853995","url":null,"abstract":"This paper proposes a multivariate time-series anomaly detection approach using multiple transform techniques and ensemble machine learning (EML) algorithms. The objective is to detect the presence of abnormal wafers during the semiconductor manufacturing process. Therefore, we evaluate a set of eleven features derived from an intermediate manufacturing chain to characterize the wafer status. Data from each feature is recorded over a 150-second time frame. To address the computational complexity of large-scale data processing, a dimensionality reduction step is highly desirable. Indeed, independent component analysis (ICA), principal component analysis (PCA), and factor analysis (FA) are used for comparison purposes. As well, to extract the most significant components from each feature sequence and build a thoroughly combined subset of characteristics. In the sequel, decision trees, bootstrap aggregating, boosting, one of the prevalent evolutions of EML algorithms, are fitted to the obtained characteristics to define the best anomaly detection ranking. The selected model is validated using 7000 samples (i.e. wafers) divided into 5000 normal samples and 2000 abnormal samples. The results highlight the strengths of the proposed approach, which could serve as a valuable decision-making support for abnormal wafer detection in the semiconductor manufacturing process.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122318002","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
Reinforcement Learning and Nonlinear Control of a X33 Vehicle Model ⋆ X33车辆模型的强化学习与非线性控制
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 2022-07-13 DOI: 10.1109/ICCAD55197.2022.9853874
B. Costa, Francisco L. Parente, J. M. Lemos
{"title":"Reinforcement Learning and Nonlinear Control of a X33 Vehicle Model ⋆","authors":"B. Costa, Francisco L. Parente, J. M. Lemos","doi":"10.1109/ICCAD55197.2022.9853874","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853874","url":null,"abstract":"This paper explores the application of nonlinear control and reinforcement learning to control a model of X33 reentry vehicle. The control problem is formulated considering the gliding phase of the X33 spacecraft model. During this phase, no thrust is applied and wind disturbances may change the path of the spacecraft from the reference path. Several difficulties were present when using the reinforcement learning controller. The starting of the controller, the convergence of the controller gains and their relation to the excitation noise, and the available time to learn.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127012470","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
Results on Chatter Reduction in Turning Process Through Active Inertial Actuator - Demonstration with an Experimental System 主动惯性作动器减少车削过程颤振的结果——实验系统验证
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 2022-07-13 DOI: 10.1109/ICCAD55197.2022.9853928
Z. Brand, S. Arogeti, Artyom Yuhananov
{"title":"Results on Chatter Reduction in Turning Process Through Active Inertial Actuator - Demonstration with an Experimental System","authors":"Z. Brand, S. Arogeti, Artyom Yuhananov","doi":"10.1109/ICCAD55197.2022.9853928","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853928","url":null,"abstract":"Chatter vibrations, which arise in cutting operations, are a significant barrier to achieving the desired productivity and product quality. Regenerative chatter is detrimental to any process as it creates excessive vibration between the tool and the workpiece, impacting the performance and increasing the risk of failure. Active inertial actuators, such as a proof-mass-damper (PMD) can reduce chatter vibration by adding viscous damping into the structure. This paper describes a solution based on an electromagnetic PMD to the problem of chatter vibrations. The advantages are demonstrated experimentally, using a test rig where electromagnetic actuators emulate the operation of conventional cutting forces. The improved dynamical properties are quantified through stability lobe diagrams.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130656635","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
Two-Degree-of-Freedom PID Controller Design of Unmaned Aerial Vehicles 无人机二自由度PID控制器设计
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 2022-07-13 DOI: 10.1109/ICCAD55197.2022.9869422
A. Azar, Fernando E. Serrano, Nashwa Ahmad Kamal, Ammar K. Al Mhdawi, A. Khamis, I. Ibraheem, A. Humaidi, Chakib Ben Njima
{"title":"Two-Degree-of-Freedom PID Controller Design of Unmaned Aerial Vehicles","authors":"A. Azar, Fernando E. Serrano, Nashwa Ahmad Kamal, Ammar K. Al Mhdawi, A. Khamis, I. Ibraheem, A. Humaidi, Chakib Ben Njima","doi":"10.1109/ICCAD55197.2022.9869422","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9869422","url":null,"abstract":"This paper shows an analysis and controller design of independent two degrees of freedom (2DOF) PID controllers for unmanned aerial vehicles. The transfer functions of system dynamics are separated into two sections: lateral and longitudinal. A transient examination of the temporal response for the lateral and longitudinal control blocks is also included in this paper when a reference input is utilized as a pilot instruction. This research also provides a robustness analysis as well as an integral square error analysis to evaluate the performance of the suggested control technique. The fundamental contribution of this research is that independent control for unmanned aerial vehicles is limited, as described in the literature. A major contribution is made because disturbances are handled. The results show that in all simulations, a suitable settling time and overshoot are reached.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130743992","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: 2
Experimental Validation of a Wind Turbine 风力发电机的实验验证
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 2022-07-13 DOI: 10.1109/ICCAD55197.2022.9853873
Geraldo Rodrigues, R. Melício, D. Valério
{"title":"Experimental Validation of a Wind Turbine","authors":"Geraldo Rodrigues, R. Melício, D. Valério","doi":"10.1109/ICCAD55197.2022.9853873","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853873","url":null,"abstract":"This document is an overview of the thesis with the same title. The work related to this document centers in a prototype vertical axis wind turbine and the implementation and testing of a developed fractional controller. Models and controllers are revalidated or created using newly gathered data sets, whose performance are studied and later implemented and tested through existing hardware components.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131610008","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
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