Gearbox Fault Diagnosis Based on Dynamic Weighted Feature Fusion with Maximum Information Coefficient by Nie Yongjun, Liu Zhijun, Tang Zhenyu, Liu Zhihua, Zhou Qiang

“…In order to effectively fuse multi-sensor information, complete the information in time and space, and improve the reliability of sensor information, a gear fault diagnosis method based on dynamic weighted feature fusion with maximum information coefficient is proposed. The wavelet packet transform is used to decompose the vibration signals collected by multi-sensor into time-frequency domain; the time and frequency domain features are calculated, the weight of each sensor is calculated by the maximum information coefficient, and the features are fused in parallel; the fused features are input into the support vector machine model for fault classification. …”
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Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework by Mousmita Sarma, Kandarpa Kumar Sarma

“…The proposed algorithm shows a high recognition performance in comparison to the conventional Discrete Wavelet Transform (DWT) based segmentation.…”
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RESEARCH ON LOAD TEST AND SPECTRUM COMPILATION METHOD OF LOADER CONNECTING ROD by WAN YiPin, SONG XuDing, CHEN LeLe, ZHANG Lei

“…By using the method of peak valley extraction and wavelet processing, the compression of the measured data is realized. …”
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Validation of Two Nonlinear System Identification Techniques Using an Experimental Testbed by V. Lenaerts, G. Kerschen, J.-C. Golinval, M. Ruzzene, E. Giorcelli

“…The identification of a nonlinear system is performed using experimental data and two different techniques, i.e. a method based on the Wavelet transform and the Restoring Force Surface method. …”
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ROLLING BEARING FAULT DIAGNOSIS BASED ON VMD-CWT-CNN by CHEN DaiJun, CHEN LiLi, DONG ShaoJiang

“…Aiming at problems that traditional fault diagnosis methods need to extract features manually and the recognition rate is low, a VMD-CWT-CNN model based on variational modal decomposition (VMD) and continuous wavelet transform (CWT) combined with convolutional neural network (CNN) is proposed for rolling bearing fault diagnosis. …”
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Intelligent Fault Diagnosis of Machines Based on Adaptive Transfer Density Peaks Search Clustering by Meng Li, Yanxue Wang, Chuyuan Wei

“…To enhance the accuracy of autonomous diagnosis using unlabelled mechanical faults data, a novel intelligent diagnosis algorithm has been developed for rotating machinery based on adaptive transfer density peak search clustering. Combined with the wavelet packet energy feature extraction algorithm, the proposed algorithm can enhance the computational accuracy and reduce the computational time consumption. …”
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Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification by Fei GONG, Wei JIN, Keqing ZHU, Randi FU, Yan CAO

“…A face recognition method named WT-CSRC was proposed by using wavelet transform (WT) and a collaboration of double-dictionary's sparse representation-based classification (CSRC). …”
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Video Multiple Watermarking Technique Based on Image Interlacing Using DWT by Mohamed M. Ibrahim, Neamat S. Abdel Kader, M. Zorkany

“…In this technique, three-level discrete wavelet transform (DWT) is used as a watermark embedding/extracting domain, Arnold transform is used as a watermark encryption/decryption method, and different types of media (gray image, color image, and video) are used as watermarks. …”
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Human breathing perception system based on Wi-Fi subcarrier mutual information by Ying LIU, Mengyuan HU, Zhihong QIAN

“…The unpredictable environmental changes cause large fluctuations in Wi-Fi signals, and it is difficult to quantify the static and behaviorally-aware dynamic components in the subcarriers, so it is not possible to accurately portray the fluctuating form of dynamic breathing characteristics.Based on this, a subcarrier mutual information breathing perception (SMIBP) system was proposed.Firstly, a form of inscribing dynamic component information (DCI) was proposed, and mutual information theory was utilized to extract the dynamic component information representing respiration in subcarriers.Then, analytic hierarchy process (AHP) was used to combine the subcarriers to maximize the dynamic characteristics of the respiratory signals to obtain the reconstructed DCI sensory base signals.Finally, the respiration rate was obtained by combining the wavelet transform and peak detection method, which revealed of a theoretical pathway representing the dynamic component of human respiration.Simulation results show that the proposed system can better characterize the dynamic breathing component in each subcarrier, and can significantly improve the sensing accuracy and range of Wi-Fi for small-scale actions in different scenarios.…”
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Molecular Image Segmentation Based on Improved Fuzzy Clustering by Jinhua Yu, Yuanyuan Wang

“…The second stage is the texture energy characterization using a Gabor wavelet method. The third stage is introducing spatial constraints provided by the denoising data and the textural information into the two-dimensional fuzzy clustering. …”
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Bias in adjudication: Investigating the impact of artificial intelligence, media, financial and legal institutions in pursuit of social justice. by Kashif Javed, Jianxin Li

“…Analyzing weekly data from January 1, 2019, to December 31, 2023, through wavelet quantile correlation, this study examines the short, medium, and long-term impacts of integrating AI, media, international legal influence (ILI), and international financial institutions (IFI) as crucial factors in achieving Sustainable Development Goal 16 (SDG-16), which focuses on justice. …”
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ADI-MRTD Algorithm for Periodic Structures Analysis by Xiaohua Dong, Yiwang Chen, Pin Zhang, Yichao Teng, Xiaobo Zhuansun

“…By applying the multiresolution analysis in accordance with wavelet theory, the spatial sampling rate of the conventional finite-difference time-domain (FDTD) is significantly reduced by the MRTD method. …”
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Benchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis by Luciano Alparone, Andrea Garzelli

“…As a major outcome of this study, an improved version of the additive wavelet luminance proportional (AWLP) pansharpening algorithm offers all of the favorable characteristics of an ideal benchmark, namely, performance, speed, absence of adjustable running parameters, reproducibility of results with varying datasets and landscapes, and automatic correction of the path radiance term introduced by the atmosphere. …”
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Constructive Existence of (1,1)-Solutions to Two-Point Value Problems for Fuzzy Linear Multiterm Fractional Differential Equations by HuiChol Choi, SungHyok Kwon, Kinam Sin, Sunae Pak, Sungryol So

“…Our existence result is based on Banach fixed point theorem and the approximate solution of our problem is obtained by applying the Haar wavelet operational matrix.…”
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Thirty-Year Periodicity of Cosmic Rays by Jorge Pérez-Peraza, Víctor Velasco, Igor Ya. Libin, K. F. Yudakhin

“…Results were obtained by using the wavelet transformation spectral technique, signal reconstruction by autoregressive spectral analysis (ARMA), and the Lomb-Scargle periodogram method. …”
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Hybrid Models for Weather Parameter Forecasting by Rashmi Bhardwaj, Varsha Duhoon

“…It is observed that, on the basis of error comparison and time taken by the models, the hybrid wavelet-neuro-RBF model gives better results as compared to the other models due to lower values of determined errors, better performance, and lesser time taken. …”
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An Analysis Method for Time-, Frequency-, and Energy-Domain Characteristics of Downhole Microseismic Signals and Its Application by Xiao-xu Gao, Xiang-xu Pan, Guang-an Zhu

“…Based on SOS microseismic (MS) monitoring system of a certain mine, time-, frequency-, and energy-domain characteristics of MS signals are analyzed by comprehensively applying one-dimensional discrete Fourier transform (DFT) and one-dimensional discrete wavelet transform (DWT). The technology is employed to explore MS signals from incident and transmitted waves on the fault plane. …”
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Analysis of Cavitation Instabilities in a Four-Blade Inducer by O. Coutier-Delgosha, A. Dazin, G. Caignaert, G. Bois

“…The objective of the present paper is the understanding of the physical phenomena associated to these frequencies. Therefore, wavelet decomposition, flow visualizations, and direct analysis of the high-frequency force, moment, and pressure signals are applied. …”
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DPM-based method for tracking maneuvering targets in wireless sensor networks by LIN Jin-zhao1, LI Guo-jun2, ZHOU Xiao-na2, ZHOU Dao-jun 2, JIANG Yong 2

“…Focused on energy efficiency issues under tracking targets within WSN,a new dynamic power management（DPM） method for tracking distributed targets was proposed combining with the network energy consumption model and wake-up mechanism.With precedent location information of maneuvering target,the algorithm involved both cancelling noise by wavelet filter and predicting target state by autoregressive transformation is introduced to awaken wireless sensor nodes so that their sleep time is prolonged and energy consumption is reduced.According to the current location of maneuvering target,related nodes in an appointed cluster of WSN constitute a distributed dynamic tracking unit,and the cluster head is responsible for collecting the measurement information from the nodes in the tracking unit.A locating algorithm based on the relative posi-tion of two circulars formed on the bases of measurement information is adopted to simplify the process of locatiny and tracking target.Simulation results show that the DPM-based method can reduce the nodes’ energy consumption,meet the locating and tracking accuracy,and can be applied to locate and track the maneuvering targets on the earth surface.…”
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Analysis of Spatiotemporal Variation Characteristics of Rainfall Erosivity in Guangdong Province from 1960 to 2018 by DENG Panpan, QIN Beilei, DU Liya

“…In order to analyze the spatiotemporal variation characteristics of rainfall erosivity in Guangdong Province,the daily rainfall data from 86 stations in Guangdong Province during 1960—2018 were systematically studied by using methods such as the daily rainfall erosivity model,Mann-Kendall trend,and wavelet analysis.The results show that the mean rainfall erosivity in Guangdong Province from 1960 to 2018 is 9 839 (MJ·mm)/(hm²·h·a),and it fluctuates in the range of 7 137~14 339 (MJ·mm)/(hm²·h·a).In terms of spatial distribution,the rainfall erosivity gradually increases from north to south and is strong in coastal areas.Most stations in Guangdong Province show a rising trend.The interpolation results show that except for several regions in eastern Guangdong Province,the rainfall erosivity in other regions all increases.The periodic analysis shows that the principal variation period of annual rainfall erosivity from 1960 to 2018 is seven years,and there is an oscillation period of two to eight years.This study can provide some guidance for water and soil conservation and other works in Guangdong Province.…”
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