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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Improve the Accuracy of Support Vector Machine Using Chi Square Statistic and Term Frequency Inverse Document Frequency on Movie Review Sentiment Analysis by Ukhti Ikhsani Larasati, Much Aziz Muslim, Riza Arifudin, Alamsyah Alamsyah

“…The feature selection method used is chi square statistic and feature weighting using Term Frequency Inverse Document Frequency (TFIDF). …”
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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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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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TO THE QUESTION OF OPTIMISING THE DYNAMIC CHARACTERISTICS OF A VIBRATIONAL TREE UPROOTING MACHINE by A. R. Mikhitarov, V. L. Savich, V. K. Khegai

“…As shown by analysis, the work of vibrational equipment in a given frequency range can significantly reduce the dynamic loading of the machine and at the same time create appropriate conditions for the effective destruction of the soil-root system.Conclusion The proposed method allows the rational values of the frequency characteristic of vibration equipment for each calculated tree to be found depending on the soil type and the basic machine.…”
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Reservoir Fluid Identification Method Based on Multi-Feature Fusion by JIANG Guoqiang, WU Youbin, LAI Fuqiang, HUANG Zhaohui, YI Hongmei, LI Quan, LI Xu, WANG Qi, LUO Rongtao

“…Based on support vector machine (SVM), the fluid information of the fused feature matrix is recognized, and a reservoir fluid recognition method based on fused multiple features is established. …”
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Studying the frequency spectrum of acoustic emission signals by the infradyne transform method by V.D. Krevchik, A.V. Rudin, V.V. Safonov

“…Conclusions. The use of the method of infradine conversion of acoustic emission signals arising in the elastic deformation mode allowed to significantly reduce the influence of low-frequency external noise signals on the spectrum of recorded acoustic pulses, increase the sensitivity of the acoustic installation and determine the type of micro-defect formed in various machine parts and structures in their operation mode.…”

Evaluation of labor ergonomics of machine milking operators working at milking machines «Carousel» by Yu. A. Tsoy, V. V. Kirsanov, R. A. Mamedova

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Detection of Transformer Faults: AI-Supported Machine Learning Application in Sweep Frequency Response Analysis by Hakan Çuhadaroğlu, Yılmaz Uyaroğlu

“…In this context, Sweep Frequency Response Analysis (SFRA) has emerged as an effective method for detecting potential faults at an early stage by examining the frequency responses of transformers. …”
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High-Frequency Cryptocurrency Price Forecasting Using Machine Learning Models: A Comparative Study by Fátima Rodrigues, Miguel Machado

“…Existing forecasting methods often struggle with the inherent non-stationarity and complexity of cryptocurrency price dynamics. …”
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Utilizing Machine Learning and Deep Learning for Precise Intensity-Duration-Frequency (IDF) Curve Predictions by Sheeraz Majeed Ameen, Shuokr Qarani Aziz, Anwer Hazim Dawood, Azhin Tahir Sabir, Dara Muhammad Hawez

“…This study adopts a comparative approach to estimate IDF curves using a combination of traditional statistical methods, machine learning techniques, and advanced deep learning models. …”
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A Case Study of Frequency Analysis of the Contribution of a Single Number Quantity to the Introduction of Rubber Ball Impact Sound and Changes in Assessment Methods by Hee-Mo Goo, Soon-Seong Moon, Jun-Oh Yeon

“…As a result, the pre-approval system showed a high contribution rate mainly in the 63 Hz band, but the post-verification system expanded the contribution rate to the mid-low frequency band of 63–160 Hz. In particular, the evaluation method using the A-weighted maximum floor impact sound level (<i>L</i>′_{<i>iA</i>,<i>Fmax</i>}) of the post-verification system was found to reflect the performance in the mid- and high-frequency band of 125–250 Hz more effectively. …”
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Method of DFIG Cooperating with SVG to Suppress Low-Frequency Oscillation in Power Systems by Lei YANG, Weigong GAN, Shengnan LI, Xin ZHOU, Peng HE, Xin HE, Jie ZHANG, Delin WANG

“…The characteristic root of the system is changed, and the modalities of the oscillating signals are analyzed based on Prony method. The results show that the method can effectively provide positive damping, suppress low-frequency oscillation of the system, accelerate the stabilization of oscillation waveform and improve the small signal stability of the power system.…”
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MODELING OF THE MACHINE FOR THE BALANCING OF THE ROTOR IN THE ANSYS SOFTWARE COMPLEX by I. R. Tazeyev, S. O. Gaponenko, A. E. Kondratiev, A. N. Zamaliev

“…The Autodesk Inventor CAD software was used for modeling of the balancing machine and the rotor. The modal analysis was conducted by using the block method of Lanczos on the basis of the ANSYS system. …”
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Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning by Jian Wang, Chengsong Duan, Qiao Yu, Cheng Yang

“…Therefore, to enhance the predicting accuracy of LF sky wave propagation, we proposed an improved method based on the machine learning method. Firstly, we employed a machine learning method to create a prediction model for the critical frequency of the low ionospheric E layer (f oE), which significantly affects LF sky wave propagation. …”
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Frequency Response Function-Based Finite Element Model Updating Using Extreme Learning Machine Model by Yu Zhao, Zhenrui Peng

“…The proposed FEMU method is feasible.…”
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A Comprehensive Review of Transformer Winding Diagnostics: Integrating Frequency Response Analysis with Machine Learning Approaches by Meysam Beheshti Asl, Issouf Fofana, Fethi Meghnefi, Youssouf Brahami, Joao Pedro Da Costa Souza

“…Frequency Response Analysis (FRA) is a proven method for detecting mechanical faults in transformers, such as winding deformations and short circuits. …”
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Anomaly Detection in Industrial Machine Sounds Using High-Frequency Features and Gate Recurrent Unit Networks by Thi-Thu-Huong Le, Andro Aprila Adiputra, Jiwon Yun, Howon Kim

“…Our study focuses on feature extraction methods such as Mel-spectrograms and Mel-frequency Cepstral Coefficients (MFCCs) to capture critical acoustic characteristics of industrial machinery. …”
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Design and Technological Aspects of Integrating Multi-Blade Machining and Surface Hardening on a Single Machine Base by Vadim Skeeba, Vladimir Ivancivsky, Aleksey Chernikov, Nikita Martyushev, Nikita Vakhrushev, Kristina Titova

“…Theoretical studies were carried out using the basic provisions of system analysis, geometric theory of surface formation, design of metalworking machines, methods of finite elements, and mathematical and computer modeling. …”
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Assignment of the cutting mode when boring holes on CNC machine by Yuri Petrakov, Mariia Danylchenko

“…The application of the system’s approach made it possible to obtain a mathematical model in the form of state variables, which is acceptable for the use of numerical modeling methods in both time and frequency space. An applied engineering program for determining the stability diagram in "cutting depth - spindle speed" coordinates has been created. …”
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