Numerical and test study on dynamic characteristics of the tail beam of top coal caving hydraulic supports by WU Mingke, YANG Shanguo, WANG Yao, MENG Bin, YANG Zheng, LIU Houguang

“…Secondly, the acceleration response was decomposed by variational mode decomposition (VMD) to obtain the intrinsic mode function (IMF), and the time domain and frequency domain characteristics of each IMF component were analyzed. …”
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An Improved CEEMDAN Time-Domain Energy Entropy Method for the Failure Mode Identification of the Rolling Bearing by Fengfeng Bie, Yi Miao, Fengxia Lyu, Jian Peng, Yue Guo

“…The ICEEMDAN method is developed to decompose the signal to obtain the IMF component series. Then, the particular IMF components are selected according to the trend of correlation coefficient and variance contribution rate; meanwhile, the information entropy (power spectral entropy, singular spectral entropy, and time-domain energy entropy) of the screened IMF components is calculated to construct the feature vector sets, respectively. …”
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Application of Boundary Local Feature Scale Adaptive Matching Extension EMD Endpoint Effect Suppression Method in Blasting Seismic Wave Signal Processing by Jing Wu, Li Wu, Miao Sun, Ya-ni Lu, Yan-hua Han

“…The intrinsic endpoint effect of empirical mode decomposition (EMD) will lead to serious divergence of the intrinsic mode function (IMF) at the endpoint, which will lead to the distortion of IMF and affect the decomposition accuracy of EMD. …”
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Research of Bearing Compound Fault Diagnosis based on EEMD and Hilbert Envelope Analysis by Yan Tianxiao, Zhang Ruiliang, Wang Tie, Jiang Xiongfei

“…In view of bearing compound fault of the low signal-to-noise ratio of the gear transmission system,firstly,the fault signal is decomposed to the order of IMFs and residue. Taking the kurtosis as characteristic index,the kurtosis value of the IMF components is calculated and the IMF component which has the maximum kurtosis is demodulated by Hilbert envelope. …”
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Gear Fault Diagnosis Method based on Variational Modal Decomposition and Symbol Entropy by Hongmei Li, Wei Lian

“…Firstly， the gear vibration signals is decomposed into several intrinsic mode Function （IMF） which with different frequency components. …”
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Identification of key genes affecting intramuscular fat deposition in pigs using machine learning models by Yumei Shi, Yumei Shi, Xini Wang, Shaokang Chen, Yanhui Zhao, Yan Wang, Xihui Sheng, Xiaolong Qi, Lei Zhou, Yu Feng, Jianfeng Liu, Chuduan Wang, Kai Xing

“…Intramuscular fat (IMF) is an important indicator for evaluating meat quality. …”
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An Analysis of Meteorological Anomalies in Kamchatka in Connection with the Seismic Process by Alexey Lyubushin, Galina Kopylova, Eugeny Rodionov, Yulia Serafimova

“…For each IMF level, the instantaneous amplitudes of envelopes are calculated using the Hilbert transform. …”
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RAILWAY VEHICLES PANTOGRAPH FAULT DIAGNOSIS BASED ON VARIATIONAL MODE DECOMPOSITION DISPERSION ENTROPY AND SVM by PAN Ning

“…Firstly, VMD was used as the fault signal decomposition method to realized pantograph signal in different states adaptively decomposition, and obtained several intrinsic mode functions（IMF）. Secondly, DE was used as feature extration method to calculated each IMF DE value and obtained the fault feature vectors. …”
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Research of Fault Diagnosis of Planetary Gearbox based on EMD-SVD and PNN by Zhang An’an, Huang Jinying, Wei Jiejie, Pang Yu

“…Firstly,with the EMD method,de-noised vibration signals are decomposed into a finite number of intrinsic mode functions （IMF）. Secondly,some IMF components are selected according to the criterion of correlation coefficient and variance contribution ratio,and singular value sequences regarded as eigenvectors are obtained with the method of SVD. …”
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Transcriptomic and metabolomic-based revelation of the effect of fresh corn extract on meat quality of Jingyuan chicken by Jinli Tian, Yanxu Wu, Wei Zhao, Guojun Zhang, Hu Zhang, Lin Xue, Lijuan Yang, Tong Zhang, Yaling Gu, Juan Zhang

“…Meat performance measurements showed that the 0.6% FCE group of Jingyuan chickens had higher intramuscular fat (IMF), pressing loss (PL), amino acid and fatty acid contents (P < 0.05). …”
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Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model by Wangyang Hu, Chaolong Zhang, Laijin Luo, Shanhe Jiang

“…Finally, the predicted IMF and residual sequences were combined to comprehensively calculate the future lifespan aging trajectory of lithium‐ion batteries. …”
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Early Enrichment Population Theory at High Redshift by Anne E. Blackwell, Joel N. Bregman

“…We determine best-fit values for the slope and mass break of the IMF by comparing IMFs from literature with observed DTDs and the low-luminosity component ( M ( R ) > −12) of the Coma LF. …”
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Magnetic Signatures of Ionospheric Disturbance Dynamo for CME and HSSWs Generated Storms by Waqar Younas, C. Amory‐Mazaudier, Majid Khan, M. Le Huy

“…Moreover, the HSSWs events are more likely to cause—because of the oscillatory IMF Bz—long lasting Ddyn as compared to CME generated counterpart. …”
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Comparative Analysis of Deep Learning-Based Stereo Matching and Multi-View Stereo for Urban DSM Generation by Mario Fuentes Reyes, Pablo d’Angelo, Friedrich Fraundorfer

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A Hybrid Method for Short-Term Host Utilization Prediction in Cloud Computing by Jing Chen, Yinglong Wang

“…Then, efficient IMF components are selected and then reconstructed into three new components to reduce the prediction time and error accumulation due to too many IMF components. …”
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Application of ABC-VMD and Envelope Spectrum Analysis in Gear Fault Diagnosis by Wangping Zhou, Rong Wang, Shenrong Xu

“…Then， according to the mutual information method， the optimal finite Intrinsic mode function （IMF） is selected after VMD. Finally， the envelope spectrum analysis of the best IMF is performed to extract the characteristic signal of the gear fault. …”
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Design of the Gear Fault Test System based on the Method of Transmission Error Detection by Wang Bolei, Cui Yanping, Lu Zhaojing

“…The method of transmission error detection is applied to gear fault diagnosis,the transmission error signal of the gear system is obtained by measuring pulse width time of the gearbox shaft angular encoder output two square wave pulse.Secondly,the transmission error signal is decomposed into a finite number of intrinsic mode components（IMF） by the method of empirical mode decomposition,and then the IMF component containing the most dominant fault information are filtrated to merged into a new signal.Finally,the order analysis and spectrum analysis on the new signal is carried out,the fault characteristics are obtained and gear fault diagnosis is realized.The designed two channel data acquisition card is applied to build up the gear fault analysis test system based on the method of transmission error detection.The experiment results show that the gear fault analysis test system can be effectively diagnose the gear fault.…”
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Propriété foncière et propriété du capital en AlgérieLe foncier agricole, de l’autogestion à la concession by Ammar Belhimer

“…But this process did not reflect an internal, socio-economic maturity but external injunctions which became more pressing after the agreement passed with IMF in May 1994. However, the privatization device undertaken under the periodic performance control by IMF experts remains heavily affected by administrative and bureaucratic obstacles since the role of the state, as the rent distributor and the private accumulation supervisor (in the land, commercial and industrial domains), keeps on being essential. …”
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Improved Empirical Modal Decomposition Coupled with Interwoven Fourier Decomposition for Building Vibration Signal Denoising by Xi Luo, Shitu Abubakar

“…Then, the intrinsic mode function (IMF) components with useful information are extracted from the original building vibration signal using the energy criterion of the autocorrelation function. …”
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Gear Fault Diagnosis based on EEMD and Choi-Williams Distribution by Xiaoyu Yang, Piao Sheng, Shuangxi Jing, Junfa Leng

“…In the process of gear fault feature extraction， empirical mode decomposition （EMD） has the problem of modal aliasing， intrinsic mode function（IMF） screening difficulty， and Wigner-Ville distribution（WVD） has cross-terms interference. …”
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