Frequency Dynamic Characteristic Analysis of Ultra-Low Frequency Oscillation and Multi-Machine GPSS Parameter Tuning Method by ZENG Pijiang, XU Hao, YE Pengju, ZHENG Chao, SAI Xiangyu, CHEN Gang, ZHAO Yong, JIANG Chuyang, GAN Deqiang

“…[Methods] The proposed method developed a frequency characteristic analysis model that integrates power system stability and frequency regulation performance from the frequency-domain perspective. …”
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Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring by Jérémy Creux, Najla Haje Obeid, Thierry Boileau, Farid Meibody-Tabar

“…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 by Zhiqing Yang, Hao Zhou, Yingwei Tian, Gan Liu, Bing Zhang, Yao Qin, Peng Li, Weimin Huang

“…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 by A. V. Bublik, V. V. Bublik, N. V. Yesin, D. A. Titanakov

Subjects: “…asynchronous electric machines…”
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Speech Emotion Recognition Method Based on Support Vector Machine and Suprasegmental Acoustic Features by D. V. Krasnoproshin, M. I. Vashkevich

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On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning by Nansha Gao, Mou Wang, Xiao Liang, Guang Pan

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Time-Frequency Analysis and Neural Network-Based Multipath Mitigation Method for Precise Positioning by Min-Ji Kim, O-Jong Kim, Jikang Lee, Changdon Kee, Juhyun Maeng

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Design and Testing of a Low-Speed, High-Frequency Straw Chopping and Returning Machine Using a Constant Breath Cam Mechanism by Han Lin, Jin He, Guangyuan Zhong, Hanyu Yang

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Recombining Features of Frequency Domain and Location for Machine Recognition of Sign Language by Sirous Tannaz

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A Frequency-Aware Transformer for Multiscale Fault Diagnosis in Electrical Machines by Yurim Choi, Inwhee Joe

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Dynamic Investigation and Resonant Frequency Determination of Shaft Bending Fatigue Testing Machine by Jinghe Zhao, Ying Zhang, Bo Jiang

“…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 by Gao Yuyan, He di, Mu Yan, Zhao Hongmin

“…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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LC oscillator frequency prediction using machine learning linear regression algorithm by Mandar Jatkar, Vasudeva G, Tripti R. Kulkarni, Roopa R. Kulkarni, Aneesh Pandurangi

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Brock's approaching zero method improved as approaching fixed point frequency to solve optimum damping ratio of dynamic vibration absorber in machine tools and experimental confirmation. by Hongliang Tian, Xixiao Liang, Xuan Du

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RESONANCE BEHAVIOUR ANALYSIS OF CARRYING SYSTEM IN HEAVY MACHINE WITH TRAVELING-COLUMN by Yu. V. Vasilevich, S. S. Dovnar

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Sentiment Analysis of Tweets Using Supervised Machine Learning Techniques Based on Term Frequency by Deepti Aggarwal, Vikram Bali, Abhishek Agarwal, Kshitiz Poswal, Madhav Gupta, Abhishek Gupta

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Fault Diagnosis Method for Wind Turbine Blades Through the Integration of Mel-Frequency Cepstral Coefficients and Intrinsic Energy Ratio by HE Wei, HUANG Fan, HE Chengqian, HUANG Weihua

“…This paper presents a fault diagnosis method based on Mel-frequency cepstral coefficients (MFCC) and intrinsic energy ratio (IER) to improve efficiency in feature extraction from audio signals for diagnosing faults in wind turbine blades. …”
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Explainable Machine Learning: A SHAP value-based approach to locational frequency stability by Alinane B. Kilembe, Robert I. Hamilton, Panagiotis N. Papadopoulos

“…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 by Dongju Chen, Shuai Zhou, Lihua Dong, Jinwei Fan

“…This paper presents a new identification method to identify the main errors of the machine tool in time-frequency domain. …”
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Investigative study of hoisting machine loading when using frequency converter controlling systems by Goncharov K.A., Denisov I.A.

“…There are conclusions about adequacy of the normative method for the dynamic coefficient option, determining the loading of the hoisting machine metalware, and in case of occurrence of adjustment errors in the frequency converter controlling system.…”
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