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

{"title":"Technician Allocation to Base Maintenance of Aircraft Fleet: a computer application","authors":"D. P. Pereira, R. Melício, V. Mendes, Luís F. F. M. Santos","doi":"10.1109/ICCAD55197.2022.9853916","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853916","url":null,"abstract":"This paper presents a practical application development for planning base maintenance of a mix of aircraft fleets. The application proposed contributes to the seize of decisions for maintenance, supporting lines for the action of hangar management. The formulation for the planning is into the framework of a nonlinear integer mathematical programming problem written as a minimization one. The objective function is a measure of costs incurred with the allocation of technicians to the maintenance of aircraft, the daily operation cost due to facilities and the opportunity cost due to aircraft downtime. Constraints are due to the available workforce and space safety conditions. The proposed application is a reformulation of the above formulation, using a transformation of the integer variables to Boolean ones to benefit from well-established commercial solvers. A case study addresses a comparison between the formulation and the reformulation of the problem, presenting a discussion about the limitation of using relaxation to continuous variables. Also addressed are other features emanating from the obtained data.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"46 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":"114943034","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}

{"title":"An approach for mastering Carbon Footprint in the context of Distributed Maintenance","authors":"R. A. D. Mezafack, Z. Simeu-Abazi, M. Mascolo","doi":"10.1109/ICCAD55197.2022.9854037","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9854037","url":null,"abstract":"This paper deals with the carbon footprint of distributed maintenance operations. It concerns the maintenance scheduling of a set of geographically distributed production sites where pieces of equipment are subject to failure. Their health state is monitored by a central maintenance workshop (CMW), which plans the corresponding preventive maintenance (PM) tasks and repairs defective equipment. A mobile maintenance workshop (MMW) transports all the resources necessary to maintain each piece of equipment, following the predefined schedule. This study aims to propose an approach to reducing CO2 emissions of the MMW routing. The model allows choosing the optimal position of the CMW and the capacity of vehicles, both satisfying a low cost and a low carbon footprint. We conduct several experiments from a real-world case study and European Union (EU) regulation. The results show a trade-off between operational profitability and strategic sustainability.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"39 4 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":"128774130","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}

{"title":"Fault Detection in Multi-stage Manufacturing to Improve Process Quality","authors":"Christoph Kellermann, Ayoub Selmi, Dominic Brown, J. Ostermann","doi":"10.1109/ICCAD55197.2022.9853909","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853909","url":null,"abstract":"Fault detection for a multi-stage manufacturing process is often challenging due to the lack of quality inspection after each individual stage. In most cases, the final product is rated by an end-of-process quality inspection. This leads to a difficult identification of the manufacturing stage in question. This paper presents a novel approach for fault detection of a multi-stage manufacturing process using machine learning. For this approach, an autoregressive model is used, which is enhanced by a neural network to create a residual between process measurements and model predictions. The residual is then evaluated to detect a fault in an individual manufacturing stage and in the experimental study a True Positive Rate of 0.79 is reached for a False Positive Rate of 0.07. The major advantage of the proposed approach is the detection of the fault without an explicit quality inspection for each individual stage.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"70 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":"124610302","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}

{"title":"On the fixed-time stability and stabilization of autonomous dynamical systems. Application to some academic examples","authors":"K. Saidi, M. Boutayeb, Chaker Jammazi","doi":"10.1109/ICCAD55197.2022.9854013","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9854013","url":null,"abstract":"This paper discusses a new characterization of the fixed-time stability of autonomous dynamical systems. We prove that the combination of the finite-time stability with the polynomial stability leads to fixed-time stabilities provided that both stabilities are obtained by the same Lyapunov function. We apply this result to the construction of new fixed-time stabilizing feedbacks for the famous double integrator problem; One is continuous while the other is discontinuous. This allows the construction of observers of double integrator in fixed-time followed by its fixed-time output feedbacks.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"119 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":"124157762","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}

{"title":"Human-Guided Safe and Efficient Trajectory Replanning for Unmanned Aerial Vehicles","authors":"Zezhong Zhang, Hao Chen, S. Lye, Chen Lv","doi":"10.1109/ICCAD55197.2022.9853986","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853986","url":null,"abstract":"Safe and efficient local trajectory replanning is essential for the navigation of unmanned aerial vehicles (UAVs). Take the quadrotor as an example, most research works focus on the static or fully mapped environment. Flying in a dynamic environment for autonomous quadrotors is still a tricky problem. However, with the emergence of first-person-view Drone Racing in recent years, professional human pilots have shown highly-skilled techniques for navigating quadrotors to avoid collisions at high speed. Therefore, this work uses the intelligence of human users in perception and decision-making and proposes a human-guided trajectory replanning (HTP) system for the safe and efficient flight operation of quadrotors. A non-constraint optimization problem is formulated, and human guidance is designed as one term of the cost functions. The proposed approach is validated in the AirSim simulation environment. The result shows that HTP saves optimization time by 58% compared with the non-human guidance (Non-HG) baseline. In addition, the HTP can assist quadrotors to pass the specified target at a higher speed and comply better with human preferences than the Non-HG approach.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"59 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":"116145826","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}

{"title":"Magnet-based wireless power transmission at extremely low frequencies for microrobots","authors":"Andrés J. Serrano, I. Tejado, J. E. Traver, Cristina Nuevo-Gallardo, B. Vinagre","doi":"10.1109/ICCAD55197.2022.9854016","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9854016","url":null,"abstract":"Power supply is one of the most important and challenging issues in microrobotics. Among other external forms, wireless supplying by means of electromagnetic fields is recognized as a common way of transmitting energy, especially for the case of sine or square voltage signals whose fundamental frequency is in the range of tens of hertz (known as extremely low frequencies). In addition, the space to place the signal receiver is limited. This article describes the design of a system that constitutes an alternative to the systems that are currently being developed the most, which transmit signals in the megahertz range that must be rectified to generate the signals to power a microrobot, increasing the complexity of associate electronics. In particular, this work contributes to the analysis of energy transmission with the use of permanent magnets by carrying out a theoretical development and experimental tests, as well as using simulations based on finite element analysis that allow a better understanding of the effect of the geometry and distribution of the participating elements.","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":"124419124","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}

{"title":"BSOM: A Two-Level Clustering Method Based on the Efficient Self-Organizing Maps","authors":"Dylan Molinié, K. Madani","doi":"10.1109/ICCAD55197.2022.9853931","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853931","url":null,"abstract":"At the very beginning of the Industry 4.0 era, automated systems and automatic knowledge conceptualization are becoming more and more essential. The ever faster, ever more resource-demanding processes are raising a pressing need for highly efficient handling of the systems. While the industries produce ever more, there is less and less time for back-up and quality assessment; a piece of solution may come along a real-time and automated monitoring, based on sensors’ data so as to assess products’ validity: this is the areas of Behavior Identification and Anomaly Detection. In this paper, we propose to use Machine Learning and data-driven clustering to automatically identify the real behaviors of a system, and therefore its possible anomalies. More than the methodology, we mostly propose a more stable clustering method based on the Self-Organizing Maps to achieve that purpose. We apply both methodology and that improved clustering method to real industrial data, and we show that it is more efficient, more stable and more relevant to dynamic systems.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"42 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":"132963636","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}

{"title":"Intelligent OpenFlow Switch for SDN Networks Based on COVID-19’s High Network Traffic using Heuristic GA-Fuzzification Control Approach","authors":"Ammar K. Al Mhdawi, A. Azar, Nashwa Ahmad Kamal, Chakib Ben Njima","doi":"10.1109/ICCAD55197.2022.9853914","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853914","url":null,"abstract":"The COVID-19 outbreak has impacted network operators and data centers in terms of congestion and high traffic that lead to outages and significant pressure on the network. The overhead traffic is generated from web, voice calls, and Internet activity. In this paper, we are investigating data center congestion control for Software Defined Networks (SDN) network data centers. A Software-Defined (SDN) data center is an emerging networking paradigm that simplifies the network architecture by decentralizing plane functionality into a single with centralized decision capabilities. Along with the SDN paradigm, there is a crucial part that is responsible for forwarding packet called OpenFlow switching engine. In a typical SDN environment, the rules are initiated by the SDN controller and pushed to the OpenFlow switches. The traditional OpenFlow switch has no forwarding decision and depends on the incoming policies from the controller’s southbound interface. Additionally, the flow of traffic is initiated from different sources that are assigned to a specific route. However, this significant flow of traffic due to COVID-19 can lead to congestion and degradation of network performance in terms of delay and interruption. To be precise, a single OpenFlow switch could receive a capacity of traffic that floods its forwarding table and lead to link flaps and outages. In order to optimize the OpenFlow switch with regards to how much traffic it can host and to adjust routing capabilities for dynamic changes in the network, we propose an optimized OpenFlow congestion control and fault prediction framework for inbound traffic to overcome the inefficient route planning in the network. The proposed developed optimization algorithm is based on Genetic Evolutionary Algorithm criteria and adds intelligence to the OpenFlow switch by the adoption of Fuzzy Logic prediction capabilities. The experimental evaluation shows that the proposed optimization method adds significant intelligence and optimization to OpenFlow operation. The testbed was implemented experimentally using Raspberry Pi (RPI)cluster with customized SDN and OpenFlow deployment. The probability of the best fitness was 14.11% for Gen 999. The proposed approach adds intelligence and prediction into the OpenFlow switch to overcome the unstable flows of traffic and to predict faults to enhance the traffic capacity levels and manage flows into an entirely uninterrupted production environment.","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":"130965160","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}

{"title":"Computationally Efficient Algorithm for Atrial Fibrillation Detection using Linear and Geometric Features of RR Time-Series Derivatives","authors":"Youssef Trardi, B. Ananou, M. Ouladsine","doi":"10.1109/ICCAD55197.2022.9853910","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853910","url":null,"abstract":"This paper proposes a computationally efficient algorithm for Atrial Fibrillation (AF) detection using linear and geometric features of multiple RR time series derivatives. Our main goal is to demonstrate that the detection of AF episodes can be improved using complementary heart-rate dynamics over traditional approaches. Herein, we investigate the combination of eleven dynamic forms, namely the RR interval time series, the first five standards, and absolute derivatives. From each dynamic, we extract 11 features, yielding a set of 121 components. Therefore, we applied an ANOVA test and a recursive feature elimination strategy to eliminate uninformative and irrelevant features and construct an appropriate subset of relevant features. Next, we perform multilayer perceptron (MLP) for model building. The process evaluates and selects the most accurate model based on sensitivity, specificity, and accuracy performance metrics. The results highlight the strengths of the proposed approach, which could serve as valuable decision support for AF diagnosis.","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":"123509976","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}

{"title":"Autonomous control for satellite rendezvous in near-Earth orbits","authors":"V. Muralidharan, Carol Martinez, Augustinas Zinys, Marius Klimavičius, M. Olivares-Méndez","doi":"10.1109/ICCAD55197.2022.9853882","DOIUrl":"https://doi.org/10.1109/ICCAD55197.2022.9853882","url":null,"abstract":"CubeSats are being deployed for a number of activities including Earth observation, telecommunications, scientific experiments, and due to their low cost and flexibility, more often than not, they are even being considered for use in On-Orbit Servicing (OOS) and debris removal missions. This investigation focuses on using the CubeSat technology to perform autonomous proximity operations with passive target bodies including satellites or space debris. The nonlinear coupled attitude and orbit dynamics for the chaser and the target bodies are modelled and simulated. A nonlinear optimal controller identifies an appropriate rendezvous path. A vision-based navigation system on the chaser satellite records the pose of the target body. The pose observations with stochastic uncertainties are processed using a Kalman filter, and offer state feedback along the satellite path. Such observations in conjunction with the postulated linear control algorithm anchor the chaser to approach the target by maintaining appropriate relative configuration. The linear controller delivers regular maneuvers to compensate for any deviations from the identified reference path. A close-range rendezvous operation is illustrated in a Mission Design Simulator (MDS) tool.","PeriodicalId":436377,"journal":{"name":"2022 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"21 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120813699","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}