APPLICATION OF THE FULL VECTOR SPECTRUM BASED ON EMD IN FAULT DIAGNOSIS OF BEARINGS by CHEN Chao, MENG YaJun, DU YunLong, HUANG ChuanJin

“…Aiming at the deficiency of the analysis of single channel signal EMD and dual channel signal traditional full vector spectrum analysis,this paper presents the full vector spectrum extraction based on EMD.The method of vibration signals collected from the same cross section of the two perpendicular on the sensor,then use EMD on each signal respectively,so that the two signals are decomposed into several IMF components.By the fusion of the IMF component,we can get the full vector spectrum based on obtained EMD.The simulation results show that,the method of obtaining fault characteristics is more comprehensive,accurate.The analysis results of bearing fault vibration signals of TRT generating units in a power rating of3000 KW,further shows the feasibility and effectiveness of the method.…”
Get full text

Application of Bistable Stochastic Resonance based on VMD in Early Fault Detection of Rolling Bearing by Wang Zhixia, Guo Li, Cheng Qianqian

“…Firstly,the fault vibration signal of rolling bearing VMD is decomposed into finite Intrinsic Mode Functions（ IMF）,IMF components containing fault feature are selected and reconstructed. …”
Get full text

F10.7 Daily Forecast Using LSTM Combined With VMD Method by Yuhang Hao, Jianyong Lu, Guangshuai Peng, Ming Wang, Jingyuan Li, Guanchun Wei

“…The F10.7 sequence is decomposed into several intrinsic mode functions (IMF) by VMD, then the LSTM neural network is utilized to forecast each IMF. …”
Get full text

A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance by Aakanksha Dayal, Ziaullah Khan, Kiramat Ullah, Hee-Cheol Kim

“…SHAP analysis identified key features contributing to this performance, revealing key features such as the waveform length of the first Intrinsic Mode Function (IMF) for the ECG signal, the mean of the second IMF for fingertip-PPG, and the waveform length of the second IMF for combined ECG and fingertip-PPG signals. …”
Get full text

Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method by Yaqi Jin, Wojciech J. Miloch, Daria Kotova, Knut Stanley Jacobsen, Đorđe Stevanović, Lasse B. N. Clausen, Nicholas Ssessanga, Federico DaDalt

“…The first EOF reflects the averaged ROTI activity and the impact of the solar radiation and geomagnetic activity; the second EOF reflects the impact of the interplanetary magnetic field (IMF) Bz and electric field; the third and fourth EOFs reflect the dawn‐dusk asymmetry around the auroral oval and polar cap, and they can be related to the IMF By. …”
Get full text

The Dependence of Cold and Hot Patches on Local Plasma Transport and Particle Precipitation in Northern Hemisphere Winter by Duan Zhang, Qing‐He Zhang, Y.‐Z. Ma, Kjellmar Oksavik, L. R. Lyons, Zan‐Yang Xing, Marc Hairston, Z.‐X. Deng, J.‐J. Liu

“…(c) enhanced anti‐sunward flow (E × B drift) mainly contributes to cold patch occurrence under Bz < 0, and soft‐electron precipitation contributes to hot patch occurrence both under southward and northward IMF.…”
Get full text

Research on Gearbox Impact Feature Extraction Method Based on the Improved ESMD and Dynamics Model by Gu Sheng, Bie Fengfeng, Miao Xinting, Zhao Wei, Guo Yue

“…Meanwhile, the singular values of each selected IMF are extracted to construct the feature vector set, which is input into the SVM for the fault pattern recognition finally. …”
Get full text

Fault Diagnosis Method Based on MTF-ResDSCNN Two-dimensional Image by Hu Mengnan, Yang Xiwang, Huang Jinying, Hu Hongjun, Wang Cheng

“…Firstly, the collected one-dimensional vibration signals are decomposed by modified ensemble empirical mode decomposition (MEEMD) to obtain the intrinsic mode function (IMF) components, and the corresponding IMF components are selected for sum reconstruction to enhance the amplitude fluctuation of vibration signals. …”
Get full text

Gear Fault Diagnosis Method Based on Deep Transfer Learning by Liu Shihao, Wang Xiyang, Gong Tingkai

“…Firstly, the intrinsic mode function (IMF) is obtained by Empirical Mode Decomposition (EMD) of vibration signals, and the time spectrum is obtained by Hilbert transform of IMF with the largest correlation coefficient. …”
Get full text

Fault Feature Extraction of Rolling Bearing based on Improved EMD and Spectrum Kurtosis by Jing Shuangxi, Yang Xin, Leng Junfa, Wang Zhiyang

“…According to the modulation characteristic of fault signals of rolling bearings and the disadvantages of depending on the experience to select resonance high frequency band,an improved empirical mode decomposition（EMD） and spectrum kurtosis method of rolling bearing fault diagnosis is put forward.First of all,the bearing fault signal are decomposed into a number of intrinsic mode functions（IMF） through the EMD method.Then,the false IMF components is eliminated through mutual information,kurtosis and cross- correlation,the fault signal is reconstructed.Finally,the optimal band pass filter is designed by using the spectral kurtosis,then analysis of envelope demodulation spectrum of the filtered signal is carried out,the fault feature of rolling bearing is extracted.The analysis results of rolling bearing experimental signal show that,the improved EMD and spectral kurtosis method can effectively extract the fault features of rolling bearing,and has more advantages than the traditional envelope analysis method.…”
Get full text

Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network by Xu Jingwen, Yang Ping, Yin Xiaojun

“…Fristly, EMD is used to decompose acoustic emission signals, obtaining a series of intrinsic mode function (IMF). Secondly, calculating the correlation coefficient of each IMF with the original signal, and the feature extractions of each component are carried out to form a feature matrix. …”
Get full text

Application of Improved EEMD-NNBR Coupling Model in Annual Runoff Prediction by ZHENG Fangfang, WANG Wensheng, ZHANG Lanting

“…This paper firstly decomposes the annual runoff series by the improved EEMD to obtain the intrinsic mode function (IMF) and trend term, and then establishes the NNBR for each IMF and trend term to obtain the predicted values of decomposed series, and accumulates the predicted values to get the annual runoff, finally applies the improved EEMD-NNBR coupling model for the annual runoff prediction of Pingshan Station. …”
Get full text

Application of Deep Support Vector Machine in Gear Fault Diagnosis by Lei Yu, Sen Chen, Rui Zhang, Ke Li, Lei Su

“…Firstly, the original vibration signal is decomposed into several frequency scale Intrinsic Mode Function (IMF) components by VMD, and the IMF component is selected according to the maximum kurtosis criterion to reconstruct the signal. …”
Get full text

Bolt Detection Signal Analysis Method Based on ICEEMD by Chunhui Guo, Zhan Zhang, Xin Xie, Zhengyu Yang

“…The ICEEMD is used in order to decompose the anchor detection signal according to the approximate entropy of each intrinsic mode function (IMF). The noise of the IMFs is eliminated by the wavelet soft threshold denoising technique. …”
Get full text

Assessing Countries’ Financial Inclusion Standing – A New Composite Index by André Mialou, Goran Amidzic, Alexander Massara

“…This paper leverages the IMF’s Financial Access Survey (FAS) database to construct a new composite index of financial inclusion. …”
Get full text

Rolling Bearing Fault Diagnosis Method based on EEMD Denoising and Correlation Coefficient Identification by Pei Junfeng, Sun Jianhua, Song Chuanzhi, Song Yupeng, Ge Huizhong

“…By measuring the vibration signals of bearings in the bearing life test and decomposing the signals by using the method of EEMD,a number of IMF components is got. Then,the energy characteristic signal vectors is obtained through wavelet packet decomposing and constructing of reconstructed vibration signals,which got from the selecting and reconstructing of IMF components using the method of combination of distance factor and correlation coefficient. …”
Get full text

Online Intelligent Identification of Modal Parameters for Large Cable-Stayed Bridges by Peng Wen, Inamullah Khan, He Jie, Chen Qiaofeng, Yang Shiyu

“…Finally, an index for filtering the effective intrinsic mode function (IMF) components is constructed to realize automatic screening and signal reconstruction of the effective IMF components. …”
Get full text

TÜRKİYE’DE 1980 SONRASI YAŞANAN ÜÇ BÜYÜK KRİZ VE SONUÇLARININ EKONOMİ-POLİTİĞİ by Emine Fırat

“…İstikrar politikaları ile IMF destekli istikrar programları arasında güçlü bir ilişkinin olduğu saptanmıştır. …”
Get full text

Evaluating the Dynamic Response of the Bridge-Vehicle System considering Random Road Roughness Based on the Moment Method by Fan Feng, Fanglin Huang, Weibin Wen, Zhe Liu, Xiang Liu

“…Subsequently, the influences of vehicle speed, roughness grade, and bridge span on the impact factor (IMF) were analyzed. The results show that the road roughness grade has a greater impact on the bridge IMF than the bridge span and vehicle speed.…”
Get full text

TÜRKİYE’DE 1980 SONRASI YAŞANAN ÜÇ BÜYÜK KRİZ VE SONUÇLARININ EKONOMİ-POLİTİĞİ by Emine FIRAT

“…İstikrar politikaları ile IMF destekli istikrar programları arasında güçlü bir ilişkinin olduğu saptanmıştır. …”
Get full text