{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T18:34:23Z","timestamp":1766428463264,"version":"3.41.2"},"reference-count":48,"publisher":"ASME International","issue":"9","license":[{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.asme.org\/publications-submissions\/publishing-information\/legal-policies"}],"funder":[{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF2410098"],"award-info":[{"award-number":["W911NF2410098"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006754","name":"U.S. Army Research Laboratory","doi-asserted-by":"publisher","award":["W911NF2320179"],"award-info":[{"award-number":["W911NF2320179"]}],"id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["asmedigitalcollection.asme.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Coupled multidisciplinary systems involve different disciplines\/subsystems with feedback-coupled interactions, illustrating the complex interdependencies inherent in real-world engineering systems. Effective monitoring of a coupled multidisciplinary system is crucial for real-time assessment of the interactions between various disciplines within the system. This monitoring provides the data necessary for detecting and addressing issues in a timely manner and facilitates adaptive decision-making for taking reliable design or control actions. However, processing and analyzing data in real time is computationally intensive, and limited resources, such as computational power, sensor capabilities, and budget, may constrain the extent to which a system can be monitored comprehensively. To address this, this article develops a particle-based approach that dynamically selects a subset of sensors that provides the highest information about the state of the system in real time. The proposed approach first predicts the amount of uncertainty in the estimation of the state of the system given noisy measurements from different subsets of available sensors. Then, it selects the sensors that reduce this uncertainty the most, enhancing the precision and efficiency of the monitoring process. The efficacy of the proposed framework is demonstrated via two coupled multidisciplinary systems in the numerical experiments.<\/jats:p>","DOI":"10.1115\/1.4065607","type":"journal-article","created":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T15:36:03Z","timestamp":1716824163000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":7,"title":["Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems"],"prefix":"10.1115","volume":"24","author":[{"given":"Negar","family":"Asadi","sequence":"first","affiliation":[{"name":"Northeastern University College of Engineering, , Boston, MA 02115"}]},{"given":"Seyede","family":"Fatemeh Ghoreishi","sequence":"additional","affiliation":[{"name":"Northeastern University College of Engineering and Khoury College of Computer Sciences, , Boston, MA 02115"}]}],"member":"33","published-online":{"date-parts":[[2024,6,7]]},"reference":[{"key":"2024060719085430600_CIT0001","doi-asserted-by":"publisher","first-page":"1075","DOI":"10.1007\/s00158-019-02211-z","article-title":"OpenMDAO: An Open-Source Framework for Multidisciplinary Design, Analysis, and Optimization","volume":"59","author":"Gray","year":"2019","journal-title":"Struct. Multidiscip. Optim."},{"issue":"9","key":"2024060719085430600_CIT0002","doi-asserted-by":"publisher","first-page":"508","DOI":"10.2514\/1.I010796","article-title":"ADflow: An Open-Source Computational Fluid Dynamics Solver for Aerodynamic and Multidisciplinary Optimization","volume":"17","author":"Mader","year":"2020","journal-title":"J. Aerospace Inf. Syst."},{"issue":"4","key":"2024060719085430600_CIT0003","doi-asserted-by":"publisher","first-page":"041009","DOI":"10.1115\/1.4049994","article-title":"Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems","volume":"21","author":"Ghoreishi","year":"2021","journal-title":"ASME J. Comput. Inf. Sci. Eng."},{"key":"2024060719085430600_CIT0004","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1007\/s00158-017-1737-x","article-title":"A Surrogate Modeling Approach for Reliability Analysis of a Multidisciplinary System With Spatio-Temporal Output","volume":"56","author":"Hu","year":"2017","journal-title":"Struct. Multidiscipl. Optim."},{"key":"2024060719085430600_CIT0005","doi-asserted-by":"publisher","first-page":"1036642","DOI":"10.3389\/fpace.2022.1036642","article-title":"Bayesian State Estimation in Partially-Observed Dynamic Multidisciplinary Systems","volume":"1","author":"Asadi","year":"2022","journal-title":"Frontiers Aerospace Eng."},{"issue":"1","key":"2024060719085430600_CIT0006","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JAS.2016.7373757","article-title":"A Comprehensive Overview of Cyber-Physical Systems: From Perspective of Feedback System","volume":"3","author":"Guan","year":"2016","journal-title":"IEEE\/CAA J. Automatica Sinica"},{"issue":"6","key":"2024060719085430600_CIT0007","doi-asserted-by":"publisher","first-page":"060815","DOI":"10.1115\/1.4062883","article-title":"Designing Evolving Cyber-Physical-Social Systems: Computational Research Opportunities","volume":"23","author":"Allen","year":"2023","journal-title":"ASME J. Comput. Inf. Sci. Eng."},{"key":"2024060719085430600_CIT0008","first-page":"3412","article-title":"Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems","author":"Ghoreishi","year":"2020"},{"issue":"1","key":"2024060719085430600_CIT0009","doi-asserted-by":"publisher","first-page":"011003","DOI":"10.1115\/1.4038158","article-title":"Design of Complex Engineered Systems Using Multi-agent Coordination","volume":"18","author":"Soria Zurita","year":"2018","journal-title":"ASME J. Comput. Inf. Sci. Eng."},{"key":"2024060719085430600_CIT0010","doi-asserted-by":"publisher","first-page":"2325","DOI":"10.1007\/s00158-018-2077-1","article-title":"Efficient Global Sensitivity Analysis With Correlated Variables","volume":"58","author":"DeCarlo","year":"2018","journal-title":"Struct. Multidiscipl. Optim."},{"key":"2024060719085430600_CIT0011","first-page":"1950","article-title":"Quantifying the Impact of Different Model Discrepancy Formulations in Coupled Multidisciplinary Systems","author":"Friedman","year":"2017"},{"key":"2024060719085430600_CIT0012","first-page":"4297","article-title":"Optimization of Turbine Engine Cycle Analysis With Analytic Derivatives","author":"Hearn","year":"2016"},{"year":"2016","author":"Ghoreishi","key":"2024060719085430600_CIT0013"},{"issue":"8","key":"2024060719085430600_CIT0014","doi-asserted-by":"publisher","first-page":"87","DOI":"10.3390\/aerospace6080087","article-title":"pyCycle: A Tool for Efficient Optimization of Gas Turbine Engine Cycles","volume":"6","author":"Hendricks","year":"2019","journal-title":"Aerospace"},{"issue":"6","key":"2024060719085430600_CIT0015","doi-asserted-by":"publisher","first-page":"2412","DOI":"10.2514\/1.J056888","article-title":"Optimal Approximations of Coupling in Multidisciplinary Models","volume":"56","author":"Baptista","year":"2018","journal-title":"AIAA. J."},{"issue":"11","key":"2024060719085430600_CIT0016","doi-asserted-by":"publisher","first-page":"3940","DOI":"10.2514\/1.J055893","article-title":"Adaptive Uncertainty Propagation for Coupled Multidisciplinary Systems","volume":"55","author":"Ghoreishi","year":"2017","journal-title":"AIAA. J."},{"issue":"1","key":"2024060719085430600_CIT0017","doi-asserted-by":"publisher","first-page":"235","DOI":"10.2514\/1.J055678","article-title":"Multifidelity Uncertainty Propagation Via Adaptive Surrogates in Coupled Multidisciplinary Systems","volume":"56","author":"Chaudhuri","year":"2018","journal-title":"AIAA. J."},{"issue":"5","key":"2024060719085430600_CIT0018","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s00158-022-03168-2","article-title":"Topology Optimization With Automated Derivative Computation for Multidisciplinary Design Problems","volume":"65","author":"Yan","year":"2022","journal-title":"Struct. Multidiscipl. Optim."},{"key":"2024060719085430600_CIT0019","first-page":"1443","article-title":"Compositional Uncertainty Analysis Via Importance Weighted Gibbs Sampling for Coupled Multidisciplinary Systems","author":"Ghoreishi","year":"2016"},{"key":"2024060719085430600_CIT0020","doi-asserted-by":"publisher","first-page":"1385","DOI":"10.1007\/s00158-019-02209-7","article-title":"Topology Optimization in OpenMDAO","volume":"59","author":"Chung","year":"2019","journal-title":"Struct. Multidiscipl. Optim."},{"key":"2024060719085430600_CIT0021","doi-asserted-by":"publisher","first-page":"9536","DOI":"10.1109\/JSEN.2023.3258223","article-title":"Randomized Group-Greedy Method for Large-Scale Sensor Selection Problems","volume":"23","author":"Nagata","year":"2023","journal-title":"IEEE Sensors J."},{"key":"2024060719085430600_CIT0022","doi-asserted-by":"publisher","first-page":"5694","DOI":"10.1109\/TSP.2022.3224643","article-title":"Nondominated-Solution-based Multi-objective Greedy Sensor Selection for Optimal Design of Experiments","volume":"70","author":"Nakai","year":"2022","journal-title":"IEEE Trans. Signal Process."},{"key":"2024060719085430600_CIT0023","doi-asserted-by":"publisher","DOI":"10.1049\/2024\/7966713","article-title":"Optimal Joint Defense and Monitoring for Networks Security Under Uncertainty: A POMDP-Based Approach","volume":"2024","author":"Kazeminajafabadi","year":"2024","journal-title":"IET Information Security"},{"issue":"1","key":"2024060719085430600_CIT0024","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1109\/TAC.2020.2980924","article-title":"Randomized Greedy Sensor Selection: Leveraging Weak Submodularity","volume":"66","author":"Hashemi","year":"2020","journal-title":"IEEE. Trans. Automat. Contr."},{"issue":"10","key":"2024060719085430600_CIT0025","doi-asserted-by":"publisher","first-page":"6035","DOI":"10.1002\/rnc.6124","article-title":"Learning Methods for Structural Damage Detection Via Entropy-Based Sensors Selection","volume":"32","author":"Smarra","year":"2022","journal-title":"J. Robust. Nonlinear. Control."},{"issue":"1","key":"2024060719085430600_CIT0026","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1186\/s42400-023-00155-y","article-title":"Optimal Monitoring and Attack Detection of Networks Modeled by Bayesian Attack Graphs","volume":"6","author":"Kazeminajafabadi","year":"2023","journal-title":"Cybersecurity"},{"issue":"10","key":"2024060719085430600_CIT0027","doi-asserted-by":"publisher","first-page":"10072","DOI":"10.1109\/JIOT.2020.2992509","article-title":"Information-Seeking Sensor Selection for Ocean-of-Things","volume":"7","author":"Saucan","year":"2020","journal-title":"IEEE Internet Things J."},{"issue":"3","key":"2024060719085430600_CIT0028","doi-asserted-by":"publisher","first-page":"031010","DOI":"10.1115\/1.4055514","article-title":"Data-Driven Sensor Selection for Signal Estimation of Vertical Wheel Forces in Vehicles","volume":"23","author":"Zheng","year":"2023","journal-title":"ASME J. Comput. Inf. Sci. Eng."},{"issue":"4","key":"2024060719085430600_CIT0029","doi-asserted-by":"publisher","first-page":"041009","DOI":"10.1115\/1.4043567","article-title":"A Machine Learning Approach to Aircraft Sensor Error Detection and Correction","volume":"19","author":"Swischuk","year":"2019","journal-title":"ASME J. Comput. Inf. Sci. Eng."},{"issue":"3","key":"2024060719085430600_CIT0030","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1177\/1475921719825601","article-title":"Optimization of Sensor Placement for Structural Health Monitoring: A Review","volume":"18","author":"Ostachowicz","year":"2019","journal-title":"Struct. Health. Monit."},{"key":"2024060719085430600_CIT0031","first-page":"6514","article-title":"Optimal Sensor Selection Via Proximal Optimization Algorithms","author":"Zare","year":"2018"},{"key":"2024060719085430600_CIT0032","first-page":"100100","article-title":"Sensor Location Model for O\/D Estimation: Multi-criteria Meta-Heuristics Approach","volume":"6","author":"Owais","year":"2019","journal-title":"Oper. Res. Perspect."},{"issue":"2","key":"2024060719085430600_CIT0033","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/j.automatica.2005.09.016","article-title":"On a Stochastic Sensor Selection Algorithm With Applications in Sensor Scheduling and Sensor Coverage","volume":"42","author":"Gupta","year":"2006","journal-title":"Automatica"},{"issue":"3","key":"2024060719085430600_CIT0034","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1016\/j.compchemeng.2005.10.009","article-title":"Optimal Sensor Location for Distributed-Sensor Systems Using Multivariate Regression","volume":"30","author":"Muradore","year":"2006","journal-title":"Comput. Chem. Eng."},{"key":"2024060719085430600_CIT0035","first-page":"1","article-title":"Optimal Sensor Selection for Wind Turbine Condition Monitoring Using Multivariate Principal Component Analysis Approach","author":"Wang","year":"2012"},{"key":"2024060719085430600_CIT0036","doi-asserted-by":"publisher","first-page":"2329260","DOI":"10.1080\/21642583.2024.2329260","article-title":"Deep Reinforcement Learning Sensor Scheduling for Effective Monitoring of Dynamical Systems","volume":"12","author":"Alali","year":"2024","journal-title":"Syst. Sci. Control Eng."},{"key":"2024060719085430600_CIT0037","doi-asserted-by":"publisher","first-page":"108759","DOI":"10.1016\/j.automatica.2019.108759","article-title":"Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems","volume":"113","author":"Leong","year":"2020","journal-title":"Automatica"},{"key":"2024060719085430600_CIT0038","doi-asserted-by":"crossref","DOI":"10.23919\/ACC60939.2024.10644873","article-title":"Optimal Detection for Bayesian Attack Graphs Under Uncertainty in Monitoring and Reimaging","author":"Kazeminajafabadi","year":"2024"},{"key":"2024060719085430600_CIT0039","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TAI.2024.3358261","article-title":"Optimal Inference of Hidden Markov Models Through Expert-Acquired Data","author":"Ravari","year":"2024","journal-title":"IEEE Trans. Artif. Intell."},{"issue":"1","key":"2024060719085430600_CIT0040","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1109\/TAC.2020.2973774","article-title":"Approximate Supermodularity of Kalman Filter Sensor Selection","volume":"66","author":"Chamon","year":"2020","journal-title":"IEEE. Trans. Automat. Contr."},{"key":"2024060719085430600_CIT0041","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.automatica.2016.12.025","article-title":"Sensor Selection for Kalman Filtering of Linear Dynamical Systems: Complexity, Limitations and Greedy Algorithms","volume":"78","author":"Zhang","year":"2017","journal-title":"Automatica"},{"key":"2024060719085430600_CIT0042","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.1007\/s00773-019-00624-5","article-title":"A Robust Unscented Kalman Filter and Its Application in Estimating Dynamic Positioning Ship Motion States","volume":"24","author":"Peng","year":"2019","journal-title":"J. Marine Sci. Technol."},{"key":"2024060719085430600_CIT0043","doi-asserted-by":"crossref","DOI":"10.1061\/9780784485514.035","article-title":"Privacy-Preserved Federated Reinforcement Learning for Autonomy in Signalized Intersections","author":"Asadi","year":"2024"},{"issue":"5","key":"2024060719085430600_CIT0044","doi-asserted-by":"publisher","first-page":"2146","DOI":"10.1109\/TAC.2020.3007383","article-title":"On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering","volume":"66","author":"Ye","year":"2020","journal-title":"IEEE. Trans. Automat. Contr."},{"key":"2024060719085430600_CIT0045","first-page":"65","article-title":"Input Distribution Estimation in Dynamic Coupled Multidisciplinary Systems","author":"Asadi","year":"2022"},{"issue":"1","key":"2024060719085430600_CIT0046","doi-asserted-by":"publisher","first-page":"153","DOI":"10.2514\/3.10366","article-title":"Sensitivity of Complex, Internally Coupled Systems","volume":"28","author":"Sobieszczanski-Sobieski","year":"1990","journal-title":"AIAA J."},{"key":"2024060719085430600_CIT0047","first-page":"4028","article-title":"MDO Test Suite at NASA Langley Research Center","author":"Padula","year":"1996"},{"key":"2024060719085430600_CIT0048","first-page":"481","article-title":"A Multidisciplinary Design Optimization Algorithm With Distributed Autonomous Subsystems","author":"Gupte","year":"2007"}],"container-title":["Journal of Computing and Information Science in Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/asmedigitalcollection.asme.org\/computingengineering\/article-pdf\/24\/9\/091001\/7347527\/jcise_24_9_091001.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/asmedigitalcollection.asme.org\/computingengineering\/article-pdf\/24\/9\/091001\/7347527\/jcise_24_9_091001.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T03:24:02Z","timestamp":1732073042000},"score":1,"resource":{"primary":{"URL":"https:\/\/asmedigitalcollection.asme.org\/computingengineering\/article\/24\/9\/091001\/1200570\/Dynamic-Sensor-Selection-for-Efficient-Monitoring"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,7]]},"references-count":48,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2024,9,1]]}},"URL":"https:\/\/doi.org\/10.1115\/1.4065607","relation":{},"ISSN":["1530-9827","1944-7078"],"issn-type":[{"type":"print","value":"1530-9827"},{"type":"electronic","value":"1944-7078"}],"subject":[],"published":{"date-parts":[[2024,6,7]]},"article-number":"091001"}}