Stochastic Technique on Assigning Adaptive Minimal Code Bits to Locally Frequent Symbols in Continuous Data Stream by Taiki Kato, Shinichi Yamagiwa

“…The method uses the entropy calculations from the state machine of Markov model with/without a frequency counting. …”
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3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal by Xiaoguang Li, Xiaoguang Li, Yaqi Chu, Xuejian Wu

“…To address these challenges, this paper proposes a 3D Convolutional Neural Network (P-3DCNN) decoding method that jointly learns spatial-frequency feature maps from the frequency and spatial domains of the EEG signals. …”
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Analysis on Nonlinear Dynamic Characteristic of Synchronous Generator Rotor System by Xiaodong Wang, Caiqin Song

“…This paper focuses on the swing oscillation process of the synchronous generator rotors in a three-machine power system. With the help of bifurcation diagram, time history, phase portrait, Poincaré section, and frequency spectrum, the complex dynamical behaviors and their evolution process are detected clearly in this power system with varying perturbation related parameters and different system parameters. …”
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Load Prediction Based on Hybrid Model of VMD-mRMR-BPNN-LSSVM by Gang Zhang, Hongchi Liu, Pingli Li, Meng Li, Qiang He, Hailiang Chao, Jiangbin Zhang, Jinwang Hou

“…Finally, each component is input into the prediction model together with its feature set, in which back propagation neural network (BPNN) is used to predict high-frequency components, least square-support vector machine (LS-SVM) is used to predict intermediate and low frequency components, and BPNN is also used to integrate the prediction results to obtain the final load prediction value, and compare the prediction results of method in this paper with that of the prediction models such as autoregressive moving average model (ARMA), LS-SVM, BPNN, empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), and VMD. …”
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Measurement Research of Motorized Spindle Dynamic Stiffness under High Speed Rotating by Xiaopeng Wang, Yuzhu Guo, Tianning Chen

“…After the high speed machine spindle is tested, the frequency response curves of the spindle relative to machine table are collected at 0~12000 rpm; then the relationships between stiffness and speeds as well as between damping ratio and speeds are obtained. …”
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A novel approach to feature extraction from gear condition monitoring signals by Lina Bouhafs, Salah Tamalouzt, Ahcene Bouzida

“…Additionally, these signals can vary significantly depending on the operating conditions of the machine, making it difficult to develop consistent diagnostic methods. …”
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Investigation of the Effect of Axial Gap on the Mechanical Response of a Cartridge-Loaded CMDB Propellant Grain under Vibration Loads by Yiming Zhang, Ningfei Wang, Xiaoxu Chen, Ran Wang, Long Bai, Jinfeng Dang, Yi Wu

“…The dynamic process of collision between the propellant grain and the motor case in the axial direction induced by vibration loads was simulated with the developed constitutive model by using the finite element method. The effects of the gap size between the propellant grain and the case and the vibration frequency on the mechanical response of the grain were studied. …”
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Composite Motion Design Procedure for Vibration Assisted Small-Hole EDM Using One Voice Coil Motor by Jing Cui, Zhongyi Chu

“…To address the problem of debris accumulation in small-hole electrical discharge machine (EDM) and simplify the design of the spindle head, the paper proposes a novel composite motion design procedure integrated high frequency vibration and large stroke feed using one voice coil motor (VCM). …”
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Identification of Rub and Unbalance in 320 MW Turbogenerators by N. Bachschmid, P. Pennacchi, A. Vania, G. A. Zanetta, L. Gregori

“…This article presents two experiences of applying a model-based fault-identification method to real machines. The first case presented is an unbalance identification in a 320 MW turbogenerator unit operating in a fossil power plant. …”
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Influence of DC/DC Converter Control on Source Current Ripple of the Switched Reluctance Motor by Mateusz Daraż, Piotr Bogusz

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Parametric Vibration Analysis of a Six-Degree-of-Freedom Electro-Hydraulic Stewart Platform by Xiaoming Yuan, Yue Tang, Weiqi Wang, Lijie Zhang

“…This paper considering the fluid unit equivalent stiffness cyclical fluctuations and leg, on the basis of the relationship between hydraulic stiffness, constructs the electric hydraulic Stewart platform machine vibration dynamics equation, fluid coupling parameters of vibration parameters using the method of the multiscale approximate analytic formula of the main resonance and combination resonance are derived, and the system parameters vibration time-domain response and frequency response under two different poses are discussed. …”
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Application of Minimum Entropy Deconvolution in the Rolling Element Bearing Fault Diagnosis by Leng Junfa, Yang Xin, Jing Shuangxi

“…When rolling element bearing occurred incipient fault,its vibration signal from bearing seat is usually very weak,and the hidden impulse components may be masked by machine noise or background noise,making it difficult to extract the fault features by frequency spectrum or envelope spectrum analysis. …”
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基于改进阈值小波和支持向量机的低速重载滚动轴承故障诊断的研究 by 雷加鹏, 潘紫微, 戚晓利, 王俊洪, 黄苹

“…A method combining wavelet analysis and support vector machine which used in low-speed bearing fault diagnosis is presented.Firstly,every kind of bearing faults sample signal are collected from the experimental equipment and these signals are denoised by improved wavelet threshold.Then wavelet packet is used to decompose the denoised vibration signals,so the frequency band energy can be obtained and can be seen as eigenvector.Then the eigenvector can be taken as training sample of SVM multi-fault classifier for the intelligent trouble diagnosis.The result shows that there is a better efficiency by this combining method compared to traditional wavelet method.…”
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TOOL WEAR STATE MONITORING BASED ON WAVELET PACKET BP＿ADABOOST ALGORITHM by ZHU Xiang, XIE Feng

“…Aiming at the problems of less tool wear state data,low diagnostic efficiency,high maintenance cost and lack of effective diagnostic methods during CNC machine tool processing,A method of extracting features by wavelet packet analysis and kernel principal component analysis,and using BPAda Boost algorithm to diagnose tool wear state is proposed.The tool vibration signal and the cutting force signal are collected by installing an acceleration sensor on the machined workpiece of the numerical control machine tool and a force gauge on the workbench; Then the wavelet packet decomposition is performed on the signal to pass the signal through the low-pass filter and the high-pass filter of different dimensions,so that the conditional selection can be performed to form the energy value corresponding to the different frequency bands. …”
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Firefly Algorithm based Feature Selection for Arabic Text Classification by Souad Larabi Marie-Sainte, Nada Alalyani

“…Most of feature selection based text classification methods rely on building a term-frequency inverse-document frequency feature vector which is not usually efficient. …”
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Twitter User Account Classification to Gain Insights into Communication Dynamics and Public Awareness During Tampa Bay's Red Tide Events by Andrey Skripnikov, Tania Roy, Fehmi Neffati, Melvin Adkins, Marcus Beck

“…Lastly, we creatively leveraged the Term Frequency-Inverse Document Frequency (TF-IDF) method to study the terms that most distinguish each user category from the rest.…”
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Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example. by Hou Zhu, Li Shuhuai

“…The delay is not conducive to timely discovery of papers with high citation frequency. In this paper, we propose a novel method for predicting cited potential of a paper based on the metadata and semantic information, which can predict the cited potential of academic paper instantly once it has been published. …”
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Acoustic Fault Diagnosis of Rotor Bearing System by Yuwei Liu, Yuqiang Cheng, Zhenzhen Zhang, Jianjun Wu

“…In this article, an original feature extraction method is described, namely, the 1/3 doubling method (a method of selecting the amplitude of the frequency ratio that is a multiple of 30% of the maximum amplitude). …”
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Multi-Scale Analysis of Knee Joint Acoustic Signals for Cartilage Degeneration Assessment by Anna Machrowska, Robert Karpiński, Marcin Maciejewski, Józef Jonak, Przemysław Krakowski, Arkadiusz Syta

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Interpretability Study on the Fault Diagnosis Model of the Heat pipe/ Vapor Compression Composite Air Conditioning System by ZHANG Yiqi, HUANG Shuoquan, LI Xiuming, DI Yanqiang, SONG Mengjie, HAN Zongwei

“…This study develops a composite fault diagnosis model based on typical machine learning algorithms, compares the diagnostic performance of different models, and finally conducts interpretability research on the diagnostic models using the SHAP method. …”
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