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A State-Supervised Model and Novel Anomaly Index for Gas Turbines Blade Fault Detection Under Multi-Operating Conditions
Published 2025-01-01“…Results demonstrate that the SS-VAE model and SME index effectively capture vibration signal changes due to blade faults across multi-operating conditions, achieving accurate monitoring and diagnosis. …”
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JUSTIFICATION AND REALIZATION OF MULTI-OPERATIONAL GRINDING IN PASSING CENTRIFUGAL MILL
Published 2007-04-01“…These models has made it possible to justify an efficiency of multi- operational grinding which is executed consistently using various methods of forced action on a material.A multi-operational passing centrifugal mill has been developed and it ensures fine milling of materials with relatively low specific energy expenditure.…”
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Hybrid Blockchain-Based Multi-Operator Resource Sharing and SLA Management
Published 2025-01-01“…We propose a hybrid blockchain-based framework for multi-operator resource sharing and SLA management in 5G Standalone (5GSA) networks. …”
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Applying the Theory of Multi-Operations to Building Decision-Making Systems with a Large Number of Uncertainties
Published 2024-11-01“…This article is devoted to the practical application of multi-operations theory to the construction of decision-making systems and the description of the subsequent research results. …”
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Optimal Scheduling of Port Integrated Energy System Considering Flexible Loads and Multi-Operation Mode Combinations of Electrolyzers
Published 2025-05-01“…[Conclusion] The feasibility and practicality of the port integrated energy system model established by combining flexible loads and multi-operation mode combinations of electrolyzers have been verified.…”
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Multi‐operating characteristic analysis and loss optimization of novel large capacity high‐speed permanent magnet generator
Published 2024-11-01“…The research results provide a reference for the multi‐operating characteristics analysis and loss optimization of large capacity HSPMG.…”
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A multi-user multi-operator computing pricing method for Internet of things based on bi-level optimization
Published 2020-01-01“…Therefore, we study the computation pricing and user decision-making problems of Internet of things under multi-user and multi-operator scenarios. The problem is divided into three phases and modeled as a two-level optimization problem. …”
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Real-time Diagnosis and Fault-tolerant Control of Grid-side Current Signal Anomaly in AC Traction System
Published 2023-04-01Subjects: Get full text
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A Trend Forecasting Method for the Vibration Signals of Aircraft Engines Combining Enhanced Slice-Level Adaptive Normalization Using Long Short-Term Memory Under Multi-Operating Co...
Published 2025-03-01“…Finally, an LSTM-based forecasting model is constructed to forecast the normalized data from enhanced SAN, serving as input during denormalization. …”
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Real-time Detection and Tracking for Operating Vehicles in Complex Mining Environments
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Physical property-aware multi-UAV spatial coordination for energy-efficient mobile edge computing
Published 2025-08-01“…Furthermore, many approaches rely on simplified UAV models, neglecting the complexities of real-world physical dynamics. …”
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Precise Control of DC Distributed System Based on Finite State Machine Matrix Modeling
Published 2021-10-01“…The proposed method uses the current state and triggering condition as the controller input variable and the new state and coordinated control strategy as output variables to establish a mathematical model. Finally, the correctness and effectiveness of the proposed method are verified by simulation analysis.…”
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Unit Commitment Optimization Model Considering Impact of Multiple Operating Conditions on Unit Life Loss
Published 2025-06-01“…Finally, a unit commitment model considering the multi-operating condition lifespan losses of thermal power units is constructed. …”
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Impedance-based sensitivity analysis for enhanced dynamic stability in DC off-grid hydrogen production systems
Published 2025-07-01“…Methodologically, an impedance model integrating source–load-storage hydrogen production components was developed and validated through frequency-sweep experiments. …”
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Collaborative Optimization of Passenger Control Strategy and Train Operation Plan with Variable Formations for a Rail Transit Network
Published 2022-01-01“…To solve the model, a multi-operator simulated annealing (MOSA) algorithm that includes three types of execution operators corresponding to three main decision variables is proposed. …”
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Optimal Operation Strategy of Ship Power System Under Battle Damage for Enhancing Survivability in Long-Term Missions
Published 2025-07-01“…Subsequently, a frequency response model of the system is established. This model takes into account the support provided by energy storage, analyzes the dynamic evolution of system frequency under the disturbance of directly connected impact loads. …”
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Hierarchical energy management of distribution network with multi-microgrids based on double Stackelberg game
Published 2025-06-01“…By applying the Karush-Kuhn-Tucker (KKT) conditions, the tri-level model is reformulated into a bi-level model, and iterative process combining heuristic algorithm and solver is adopted to solve the model. …”
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A Bus Rapid Transit Timetable Design Method Integrating All-Stop, Short-Turn and Limited-Stop Strategies
Published 2025-07-01“…Results show that the timetable-based multi-operational strategy reduces the total travel time of passengers under the same operational cost, which could facilitate future timetable design and stopping patterns of urban BRT corridors in a cost-efficient manner.…”
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Preliminary Development of a Novel Salvage Catamaran and Evaluation of Hydrodynamic Performance
Published 2025-03-01“…A fuzzy mathematics-driven model assigned entropy–Analytic Hierarchy Process (AHP) hybrid weights, revealing operational trade-offs: Case1-Design achieved optimal seakeeping and resistance, whereas Case5-Light exhibited critical motion thresholds. …”
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Edge-based detection and localization of adversarial oscillatory load attacks orchestrated by compromised EV charging stations
Published 2024-02-01“…The results demonstrate the effectiveness of the implemented approach with the Convolutional Long-Short Term Memory model producing optimal classification accuracy (99.4%). …”
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