2022 IEEE International Symposium on Systems Engineering (ISSE)最新文献

{"title":"An Electromagnetic Gripper for Multiple Picking of Iron Laser-Cut Parts","authors":"A. Fort, Elia Landi, Marco Barbieri, V. Vignoli, M. Mugnaini","doi":"10.1109/ISSE54508.2022.10005325","DOIUrl":"https://doi.org/10.1109/ISSE54508.2022.10005325","url":null,"abstract":"This work presents a study for the multiple picking of metal parts e.g. obtained by laser beam machining of iron or steel sheets. The objective is to optimize the automatic sorting of the semi-finished products. The authors present a model for the interaction between a commercial magnetic gripper and stacked metal parts, which was validated exploiting an ad hoc test bench. Moreover, the authors propose a solution for the monitoring of the process, exploiting the impedance measurement of an auxiliary coil mounted in the gripper. This latter feature also allows to increase the safety of the workers and of the working area since picking monitoring can also be used to sense faults of the system or parts defects which could cause loosening or dropping of the grabbed metal parts.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117229564","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":"Safe Integration of Autonomous Machines in Underground Mining Environments","authors":"Julieth Patricia Castellanos-Ardila, H. Hansson, Sasikumar Punekkat","doi":"10.1109/ISSE54508.2022.10005369","DOIUrl":"https://doi.org/10.1109/ISSE54508.2022.10005369","url":null,"abstract":"Autonomous and Semi-Autonomous Machines (ASAMs) provide several benefits and have already emerged in mining environments. However, for cost-efficiency reasons and for ASAMs to reach their full potential, they should be capable of operating seamlessly with manually operated machines. Establishing the requirements for sufficient safety for such integration is a non-trivial task. This paper proposes a methodology for safely integrating ASAMs in underground mining environments. First, we describe the purpose of the integration and define the constituent components. Second, we identify the conditions that ASAMs will likely encounter using ODD-UM, an operational design domain specification for underground mining. Third, we derive high-level requirements for individual components based on ODD-UM attributes. Such requirements are allocated into the constituent components and considered as assumptions for the safety analysis. Fourth, we perform STPA (System-theoretic Process Analysis) to analyze safety-related control requirements for the integrated system. Our methodology could help the system integrator to systematically identify integration requirements to be enforced in constituent components and safety control systems. Index Terms—Underground Autonomous Mining, Integration Requirements, ODD-UM, STPA, Safety-guided Design.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"579 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127544372","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":"Stochastic Scenario Exploration with Constrained Parameters for Aircraft System Virtual Testing","authors":"Dennis Hillig, F. Thielecke","doi":"10.1109/ISSE54508.2022.10005358","DOIUrl":"https://doi.org/10.1109/ISSE54508.2022.10005358","url":null,"abstract":"Future aircraft concepts are characterized by new technologies and highly automated, complex systems. Additionally, the time-to-market should improve to satisfy the demands. This emphasizes the role of new verification & validation methods (V&V) for future systems. There is a particular need to test for unexpected failures, but this typically includes the most effortful tasks also. Classical testing is a major method in that context and immense test spaces amplify the work- and time-intensive nature. Testing is conducted at late stages of the development process, such that found failures have a big impact. Therefore, novel test approaches are needed.This paper focuses on virtual testing and new test methods to explore the system behaviour and find unexpected failure scenarios early. A scenario-based approach should reduce the testing complexity by focusing on specific operational procedures. Although engineers can define complex scenarios, it is not trivial to construct consistent variations if parameters are interdependent. Therefore, the challenge to produce valid scenario variations to create explorative test trajectories is addressed. The presented concept defines symbolic parameters and constraints as part of the scenario modeling, such that computer-aided procedures can generate valid parameter sets. Moreover, an automation procedure is described to select valid stochastic values for exploration. The application of the method is outlined with an aircraft system use case. The concept is intuitive, produces valid results and is a good starting point for the exploration during virtual testing.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124885933","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":"Guidelines for systematic functional decomposition in model-based systems engineering","authors":"J. Kaspar, Nicolae Cioroi, Martin Bauch, Sven Kleiner","doi":"10.1109/ISSE54508.2022.10005482","DOIUrl":"https://doi.org/10.1109/ISSE54508.2022.10005482","url":null,"abstract":"The increasing complexity in today’s products require an ever more systematic product development process in which the use of model-based systems engineering (MBSE) plays an increasingly decisive role, especially against the background of cross-disciplinary collaboration. Having evaluated the actual state of the art, many companies still have true difficulties when modeling the functional architecture with the help of actual approaches. Thus, a new procedure with concrete guiding rules and control criteria to strategically define and decompose functions for the two perspectives a greenfield and brownfield environment is theoretically introduced and partly applied to a practical example.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121321685","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":"Systems-Engineering-based Requirements Reuse in Accordance with Stakeholder Needs in Automotive Product Development","authors":"A. Albers, Alexander Kubin, Alexej Eckhardt, S. Rapp, C. Kempf","doi":"10.1109/ISSE54508.2022.10005513","DOIUrl":"https://doi.org/10.1109/ISSE54508.2022.10005513","url":null,"abstract":"Systems engineering is increasingly being used in the automotive product development to ensure consistent orientation to stakeholder needs. In order to increase efficiency and minimize development risk, requirements derived from the stakeholder needs can be partially reused. However, Systems Engineering does not describe specific procedures for the consideration of existing requirements as references in new vehicle projects in accordance with PGE – Product Generation Engineering. The aim of the contribution is therefore to describe an approach for the reuse of requirements in accordance with stakeholder needs in the framework of ASE – Advanced Systems Engineering. To this purpose an analysis of the specifying process in the Early Phase of PGE in automotive product development and a systematic literature review of existing approaches to the reuse of requirements are conducted. Based on this, four phases are described that allow the product developers to systematically apply systems-engineering-based reuse of requirements in accordance with stakeholder needs. An exemplary application of the procedure in automotive product development suggests the success of the approach in practice.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121494888","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":"Reduced Order Modeling of a Heat Exchanger with a Stacking Ensemble to reduce Computational Inefficiencies","authors":"Vinayak Vijaya chandran, Roopa Adepu","doi":"10.1109/ISSE54508.2022.10005464","DOIUrl":"https://doi.org/10.1109/ISSE54508.2022.10005464","url":null,"abstract":"Reduced Order Modeling is a technique for reducing the computational complexity of a model while preserving the expected fidelity within a controlled error. One of the techniques used to create a Reduced Order Model (ROM) is Artificial Neural Networks (ANN). A successful approach to reducing the variance of ANN model prediction is to train multiple models instead of a single model and to combine the predictions from these models, which is commonly called Ensemble learning. When the predictions from the multiple models are combined using another regression model, it is called Stacking ensemble. This paper studies the effectiveness of using Genetic programming algorithm in taking the outputs of each model as input and attempting to learn how to best combine the input predictions to make a better output prediction.The above-mentioned approach is used to create a ROM for a crossflow heat exchanger steady-state component. There are 6 inputs parameters namely Cold & Hot inlet temperature, Cold & Hot outlet pressure and Cold & Hot inlet flow. There are four outputs namely Hot & Cold outlet temperature and Hot & Cold inlet pressure. A multi-input single output (MISO) ROM is created for each of the outputs. There are 3 different configurations of ANNs used to cover a good range of the Hyperparameter values. The output from each of the ANNs is then combined using Genetic Programming Algorithm. The Overall model has an R2 value of above 95% for each of the outputs. The ROM thus created can run simulations at a much faster rate. The ROM of the HX component is a black box and can be shared with third party without any concerns over propriety information loss.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128098085","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":"Application and Adaptation of a Process Model for Data-Driven Validation of the System of Objectives","authors":"S. Wagenmann, Artur Krause, S. Rapp, A. Albers, L. Sommer, N. Bursac","doi":"10.1109/ISSE54508.2022.10005430","DOIUrl":"https://doi.org/10.1109/ISSE54508.2022.10005430","url":null,"abstract":"Development practice shows that it is currently almost impossible for developers themselves to actively use data of customer's use of machines to derive decisions in the context of the development of mechatronic systems. In the light of the steadily growing data volumes and the associated costs, it makes sense for companies to make this data accessible to as many developers as possible. Therefore, an initial process model for the data-driven validation of the system of objectives is adapted to further improve the methodical support of developers to actively use machine usage data in the development process. To get a better understanding on how the initial process model for the data-driven validation needs to be adapted to meet the challenges developers are facing in using data, a validation study is executed. The study is carried out by 14 Data Science students under the supervision of company-internal domain experts. The main challenges as for example large data volumes, data availability, understanding of the technical system and unclear validation objectives can be assigned to the three causes: knowledge about data, organizations internal processes and combination of domain knowledge. To cope with the identified challenges, it is necessary to also incorporate the distinct selection of data and tools complemented by an estimation of the opportunities and risks of choosing a certain combination of data and tools. The study shows that adaptations to the process model increased the applicability, understandability and the perception of feeling supported in conducting analyses for validation purposes. It could be observed that a lack of knowledge about the technical system under investigation results in incomplete or incorrect information being shared. Therefore, a centralization of analysis activities in the development of mechatronic systems is not expedient.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125627505","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":"How does Systems Thinking support the Understanding of Complex Situations?","authors":"Susan Traeber-Burdin, M. Varga","doi":"10.1109/ISSE54508.2022.10005449","DOIUrl":"https://doi.org/10.1109/ISSE54508.2022.10005449","url":null,"abstract":"In order to understand and solve complex problems in complex situations it is crucial to have an appropriate understanding of the situation in question. Based on the understanding of the situation (actual state) and the target state in mind decision maker can decide on actions. If systems thinking is to support achieving an appropriate understanding, it should support the collection of relevant information and their integration into a model so that an appropriate understanding of the situation can be gained. Thus, the questions to be considered are: What is the relevant information needed to understand complex situations? And, Does systems thinking support the perception of these in order to develop an appropriate model upon which an appropriate understanding can be achieved? To answer these questions, we first refer to an extended version of the widely known iceberg representation to illustrate that a situation can be perceived and understood at different system layers. We then present a system taxonomy. This summarizes relevant system characteristics from a literature review and assigns them according to the iceberg model to the structural characteristics, the resulting behavioral characteristics and the characteristics regarding origin and purpose. Furthermore, the taxonomy indicates which characteristics are attributed to simple, complicated and complex systems. Furthermore, we provide an overview of the definitions and capabilities or tasks of systems thinking found in the literature and assign them to the different characteristics within the systems taxonomy. This allows us to show how systems thinking or the systems thinking task identified in the literature supports the systematic collection of relevant information of a complex system. In addition, we can see what system information is not systematically captured. For these, we propose tasks, and thus the extension of the list of systems thinking tasks. With this list, decision makers can be informed or guided about what system information should be gathered and included into a model in order to develop an appropriate understanding of the system.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115976340","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":"Risk Identification with Entity Attributes Diagrams in Business Process Modeling","authors":"DeAndre A. Johnson, Vidal Melo, J. Lambert","doi":"10.1109/isse54508.2022.10005463","DOIUrl":"https://doi.org/10.1109/isse54508.2022.10005463","url":null,"abstract":"Business process models in systems engineering describe authority, communications, procedures, flows of information and goods, capacity growth, etc. Within business process models, the information modeling method or IDEF1 describes attributes and relationships among entities of a system. Previous efforts introduced IDEF0 for risk identification. IDEF0 describes the activities of an organization, while IDEF1 describes the attributes of entities as a set of rules. This paper joins risk identification with entity attributes of the IDEF1 model with the aim to be more comprehensive in tracking sources of risk. The approach of the paper is an augmented IDEF1 model that identifies and tracks sources of risk as features of the model. The approach is demonstrated via three examples: (1) generic procurement process, (2) production tracking for raw materials, and (3) an authenticator and transmitter system. Future efforts will integrate other business process models, including IDEF 1X, 2,3,4, 5 etc., with risk identification. The results assist with risk management in systems acquisition, systems design and evaluation, systems testing, etc.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132295899","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":"Natural Language Processing of Specifications for a Prototypical Avionic System to Generate System Design: A Case Study","authors":"C. N. Chambers, Siddhartha Bhattacharyaa, Nasheen Nur","doi":"10.1109/ISSE54508.2022.10005530","DOIUrl":"https://doi.org/10.1109/ISSE54508.2022.10005530","url":null,"abstract":"The basis for the existence of a system is its requirements, which guide the entire process of systems development. The requirements are written in the natural language, which aids the process of generating the specification and, eventually, the system’s design. Interpreting a specification or the system description from the natural language induces ambiguity and inconsistency. To overcome the issues arising from the specification interpretation, we propose automating the process of converting the specification into an analytical diagram. Natural language processing (NLP) research and associated NLP tools developed recently have made this possible. Our method integrates NLP tools and system design principles to create a system architecture and behavior. As an illustration of our approach, we present the requirements and design for a flight avionic system.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130157193","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}