Results 11 to 20 of about 20,035,552 (289)
Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]
, 2013 The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
Mihaylova, Lyudmila +9 more
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IEEE Access, 2021 In this study, we present methods of optimization-based power system state estimation over sensor networks. By minimizing a composite loss function while ensuring that the state, disturbance, and measurement noise constraints are satisfied, the best or ...
Jinsung Kim +4 more
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State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System
Sensors, 2020 As one of the critical components of high-speed trains, the running gears system directly affects the operation performance of the train. This paper proposes a state-degradation-oriented method for fault diagnosis of an actual running gears system based ...
Chao Cheng +5 more
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Journal of Modern Power Systems and Clean Energy, 2023 This paper proposes a new distributed AC state estimation method. Different from the popular distributed state estimation (DSE) methods based on area partitioning method, the proposed method is a truly distributed method in which the power system is not ...
Qiao Li +3 more
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Global State Estimates for Distributed Systems [PDF]
, 2011 We consider distributed systems modeled as communicating finite state machines with reliable unbounded FIFO channels. As an essential sub-routine for control, monitoring and diagnosis applications, we provide an algorithm that computes, during the execution of the system, an estimate of the current global state of the distributed system for each local ...
Kalyon, Gabriel +3 more
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A Novel Multi-Area Distribution State Estimation Approach with Nodal Redundancy
Energies, 2023 State estimators based on load flows and applied in electrical power systems (EPS) are a basic and crucial function in energy management systems (EMS), since they must guarantee the quality of their results for decision-making.
Luis Vargas, Henrry Moyano
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Self-Organizing Distributed State Estimators [PDF]
, 2012 Distributed solutions for signal processing techniques are important for establishing large-scale monitoring and control applications. They enable the deployment of scalable sensor networks for particular application areas. Typically, such networks consists of a large number of vulnerable components connected via unreliable communication links and are ...
Sijs, J., Papp, Z.
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Distributed parameter and state estimation for wireless sensor networks [PDF]
, 2017 The research in distributed algorithms is linked with the developments of statistical inference in wireless sensor networks (WSNs) applications. Typically, distributed approaches process the collected signals from networked sensor nodes. That is to say,
Yu, Jia
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Multi-Area Distributed State Estimation in Smart Grids Using Data-Driven Kalman Filters
Energies, 2022 Low-latency data processing is essential for wide-area monitoring of smart grids. Distributed and local data processing is a promising approach for enabling low-latency requirements and avoiding the large overhead of transferring large volumes of time ...
Md Jakir Hossain, Mia Naeini
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Distributed state estimation for uncertain Markov-type sensor networks with mode-dependent distributed delays [PDF]
, 2011 This the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2012 John Wiley & Sons, Ltd.In this paper, the distributed state estimation problem is investigated for a class of sensor ...
Zidong Wang +5 more
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