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Frequency Dynamic Characteristic Analysis of Ultra-Low Frequency Oscillation and Multi-Machine GPSS Parameter Tuning Method
Published 2025-05-01“…To improve the analysis of frequency stability and performance of modern power systems, a frequency dynamic characteristic analysis method for ultralow frequency oscillations is proposed, in addition to a multimachine governor power system stabilizer (GPSS) parameter tuning method aimed at enhancing the frequency regulation performance. …”
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Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring
Published 2024-11-01“…In this paper, a new characterization method is proposed to monitor the high-frequency stator impedance evolution of voltage source inverter-fed machines. …”
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Cascaded Detection Method for Ship Targets Using High-Frequency Surface Wave Radar in the Time–Frequency Domain
Published 2025-07-01“…To address this issue, this paper proposes a cascaded detection method in the time–frequency (TF) domain to improve ship detection performance under such conditions. …”
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The stand for conducting acceptance tests of asynchronous electric machines by method of mutual loading
Published 2023-09-01Subjects: Get full text
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Speech Emotion Recognition Method Based on Support Vector Machine and Suprasegmental Acoustic Features
Published 2024-06-01Get full text
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Time-Frequency Analysis and Neural Network-Based Multipath Mitigation Method for Precise Positioning
Published 2025-01-01Get full text
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Recombining Features of Frequency Domain and Location for Machine Recognition of Sign Language
Published 2024-02-01Get full text
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A Frequency-Aware Transformer for Multiscale Fault Diagnosis in Electrical Machines
Published 2025-01-01Get full text
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RESONANCE BEHAVIOUR ANALYSIS OF CARRYING SYSTEM IN HEAVY MACHINE WITH TRAVELING-COLUMN
Published 2015-10-01Subjects: Get full text
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LC oscillator frequency prediction using machine learning linear regression algorithm
Published 2025-07-01Get full text
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Dynamic Investigation and Resonant Frequency Determination of Shaft Bending Fatigue Testing Machine
Published 2022-01-01“…Machine dynamic characteristics and system bending resonant frequency are very important for the design, testing, and application of the testing machine, but existing complex finite element calculation and aimless large-range frequency scanning in testing are the available methods to solve these two problems helplessly and inefficiently. …”
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Realised volatility prediction of high-frequency data with jumps based on machine learning
Published 2023-12-01“…To further enhance the accuracy of our volatility forecasts, the study combines the newly constructed models with the machine learning (ML) to form a hybrid model. Finally, the empirical research shows that the new hybrid model performs better than existing traditional prediction methods. …”
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MODELING AND ANALYSIS OF DYNAMICS IN BEARING SYSTEM OF DRILLING, MILLING AND BORING MACHINE WITH MONO-COLUMN
Published 2015-05-01Subjects: “…finite elements method (fem)…”
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FINITE ELEMENT ANALYSIS OF CONCRETE FILLER INFLUENCE ON DYNAMIC RIGIDITY OF HEAVY MACHINE TOOL PORTAL
Published 2016-05-01Subjects: “…finite elements method, machine tool, rigidity, resonance, frequency-response characteristics, vibration, concrete, polymer concrete, slab…”
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Distributed Virtual Inertia Control Strategy for Multi-Virtual Synchronous Machine Parallel System Based on Neighbor Communication
Published 2025-04-01Subjects: “…virtual synchronous machine…”
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Explainable Machine Learning: A SHAP value-based approach to locational frequency stability
Published 2025-09-01“…To address this, we propose a Machine Learning (ML)-based technique, through Artificial Neural Network (ANN) to capture the frequency characteristics of the system at a local level and SHapley Additive exPlanations (SHAP), an additive feature attribution method, to enhance the understanding of the frequency dynamics. …”
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An Investigation into Error Source Identification of Machine Tools Based on Time-Frequency Feature Extraction
Published 2016-01-01“…This paper presents a new identification method to identify the main errors of the machine tool in time-frequency domain. …”
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