Unraveling Magnet Structural Defects in Permanent Magnet Synchronous Machines—Harmonic Diagnosis and Performance Signatures by Mehdi Abdolmaleki, Pedram Asef, Christopher Vagg

“…A surface-mounted permanent magnet synchronous motor (PMSM) is studied using simulation in Ansys Maxwell software (Version 2023), and different cracks and PM faults are modeled using the two-dimensional finite element method (FEM). The frequency domain simulation results demonstrate the influence of magnet cracks and their propagation on EM performance measures, such as stator current, distribution of magnetic flux density, back EMF, flux linkage, losses, and efficiency. …”
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A Band-Stop Filter-Based LQR Control Method for Semi-Active Seat Suspension to Mitigate Motion Sickness by Zhijun Fu, Mengyang Jia, Zhigang Zhang, Dengfeng Zhao, Jinquan Ding, Subhash Rakheja

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A Mechanical Fault Identification Method for On-Load Tap Changers Based on Hybrid Time—Frequency Graphs of Vibration Signals and DSCNN-SVM with Small Sample Sizes by Yanhui Shi, Yanjun Ruan, Liangchuang Li, Bo Zhang, Yichao Huang, Mao Xia, Kaiwen Yuan, Zhao Luo, Sizhao Lu

“…Therefore, a novel small-sample-size OLTC mechanical fault identification method incorporating short-time Fourier transform (STFT), synchrosqueezed wavelet transform (SWT), a dual-stream convolutional neural network (DSCNN), and support vector machine (SVM) is proposed. …”
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Analysis of machine learning approaches for the interpretation of acoustic fields obtained by well noise data modelling by N. V. Mutovkin

“…Assessing the phase composition of the fluid in a well based analysis of the frequencies of the radial resonance modes excited by acoustic noise in the inflow zone is a promising method for interpreting the results of passive noise metering. …”
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Application of Machine Learning for Radiowave Propagation Modeling Below 6 GHz by Mohammud Z. Bocus, Afzal Lodhi

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Interpretable Evaluation of Sparse Time–Frequency Distributions: 2D Metric Based on Instantaneous Frequency and Group Delay Analysis by Vedran Jurdana

“…Compressive sensing in the ambiguity domain offers an efficient method for reconstructing high-quality time–frequency distributions (TFDs) across diverse signals. …”
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WASPAS-Based Natural Language Processing Method for Handling Content Words Extraction and Ranking Issues: An Example of SDGs Corpus by Liang-Ching Chen, Kuei-Hu Chang, Jeng-Fung Hung

“…Traditional corpus-based methods and the term frequency-inverse document frequency (TF-IDF) method face limitations, including the inability to automatically eliminate function words, effectively extract the relevant parameters’ quantitative data, simultaneously consider frequency and range parameters to evaluate the terms’ overall importance, and sort content words at the corpus level. …”
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The Effect of Data Conversion Methods (Naive Bayes, C5.0 & Support Vector Machine) on the Performance of Classification Algorithms in Data Mining by Hussein Ali Attallah, Ahmed Al-Asadi, Doctor, Sadeer Sadeq

“…It was aimed to examine the effects of data transformation on naive Bayes (NB), C5.0 and support vector machines (SVM) by applying minimum-maximum and z-score normalisation and equal width and equal frequency spacing discrimination methods to different types of data produced by simulation. …”
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A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm by Dorel Aiordăchioaie

“…Abstract An important paradigm in industrial engineering for fault detection and diagnosis purposes is signal processing. The various methods consider methods in the time, frequency, or time–frequency domain for signal processing as state and output signals from the considered process. …”
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RUL Prediction Method for Lithium‐Ion Batteries Based on the SOA‐ELM Algorithm by Meng Xiangdong, Zhang Haifeng, Li Dexin, Dong Yunchang, Zhang Jiajun, Cao Xinyu, Li Gang

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Ensemble Machine Learning Model Prediction and Metaheuristic Optimisation of Oil Spills Using Organic Absorbents: Supporting Sustainable Maritime by Le Quang Dung, Pham Duc, Bui Thi Anh Em, Nguyen Lan Huong, Nguyen Phuoc Quy Phong, Dang Thanh Nam

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Impedance value prediction of carbon nanotube/polystyrene nanocomposites using tree-based machine learning models and the Taguchi technique by Shohreh Jalali, Majid Baniadam, Morteza Maghrebi

“…The impedance characteristics of multi-walled carbon nanotube (MWCNT)/polystyrene nanocomposites synthesized via microwave-assisted in-situ polymerization were systematically investigated to determine the effects of microwave power, exposure time, and frequency on impedance properties. The Taguchi method and analysis of variance (ANOVA) identified microwave power as the most significant factor, followed by exposure duration and frequency. …”
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Comparing methods for catching and crating broiler chicken flocks: A trade-off between animal welfare, ergonomics and economics by Femke Delanglez, Anneleen Watteyn, Bart Ampe, Veerle Segers, An Garmyn, Evelyne Delezie, Nathalie Sleeckx, Ine Kempen, Niels Demaître, Hilde Van Meirhaeghe, Gunther Antonissen, Frank A.M. Tuyttens

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On the Vibrational Characteristics of a Moving Wire via the KBM Asymptotic Method by Andrii Slipchuk, Petro Pukach, Myroslava Vovk, Andrii Kunynets

“…The influence of the method when fixing the ends on the frequency response is analyzed. …”
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Disturbance Source Location in Power Systems Based on Time Difference of Arrival by Mengxi WEI, Ningning MA, Delin WANG, Wei DENG, Jitao KANG

“…Finally, the proposed method is applied to the 3-machine 9-bus system and the actual power grid system. …”
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Rolling Bearing Fault Diagnosis Method Based on Fusion of CNN and CSSVM by LI Yunfeng, LAN Xiaosheng, SHEN Hongchang, XU Tongle

“…Secondly, the extended bearing vibration signal is converted into a two- dimensional wavelet time-frequency graph by continuous wavelet transform method. …”
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Influence of Loading Frequency on Fatigue of Construction Materials by V. V. Mylnikov

“…A change in cyclic loading frequency affects duration of a single (during one cycle) stay of the material in the loaded state and it has an impact on its durability. …”
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Concept of system frequency and underlying physical backgrounds by Yanjun Liu, Yifan Fang, Jiabing Hu, Wei He, Meng Zhan, Wei Huang, Wenyun Li, Suwei Zhai

“…Various dynamic processes result in frequency fluctuations. Since the node frequency is simultaneously affected by local and other node frequencies, power systems require certain methods to evaluate the frequency stability. …”
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Data-driven price trends prediction of Ethereum: A hybrid machine learning and signal processing approach by Ebenezer Fiifi Emire Atta Mills, Yuexin Liao, Zihui Deng

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Application of stochastic methods, wavelet transformations and support vectors for the study of electroencephalogram signals by Veronika V. Tolmanova, Denis A. Andrikov

“…This study explores the application of modern data processing methods - wavelet transformation, stochastic methods, and Support Vector Machine (SVM) - on real electroencephalogram (EEG) signals from open databases. …”
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