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  1. 141

    ROLLING BEARING FAULT DIAGNOSIS BASED ON VARIATIONAL MODAL DECOMPOSITION AND LFOA-RVM by CHEN Wan

    Published 2018-01-01
    “…Firstly, the bearing vibration signals was decomposed into several intrinsic mode components(IMF) and root mean square value and frequency of the center of gravity was calculated as fault feature vectors that could represent the operating conditions of bearings. …”
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    Article
  2. 142

    Fault Feature Research of Rolling Bearing based on Empirical Mode Decomposition and Principle Component Analysis by Zheng Xin

    Published 2016-01-01
    “…On the base of correlation between IMF functions and various faults,the classification is realized. …”
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    Article
  3. 143

    Bearing Fault Diagnosis Method based on Sensitive Component and MCPG by Mingliang Zhang, Hongkun Li, Yue Ma, Gangjin Huang, Yuchen Xu

    Published 2021-04-01
    “…Firstly, the Empirical Mode Decomposition (EMD) is used to decompose the original signal into multiple Intrinsic Mode Function(IMF), and the discrete Fréchet distance is used as the measurement index, the fault sensitive components are selected as the fault data sources representing different fault types. …”
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  4. 144

    Whole-transcriptome analysis reveals the characteristics of intramuscular fat circRNA expression and its associated network in grazing yaks of different months of age under cold st... by Yaqian Liu, Yonggang Sun, Yincang Han, Weiqin Ding, Shengwei Jin, Jianyu Chen, Fajie Gou

    Published 2025-03-01
    “…Six male yaks with insignificant differences in body weights were selected as test subjects, and 3 yaks (G18_IMF) were randomly slaughtered at the beginning of the experiment, while the remaining 3 yaks were naturally grazed until 24 months of age (G24_IMF), and then slaughtered at the end of the experiment, and the intramuscular fat was collected from the dorsal muscle. …”
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    Article
  5. 145

    Effects of supplementation with vitamin D3 on growth performance, lipid metabolism and cecal microbiota in broiler chickens by Jiawei Li, Ximei Li, Jiamin Tian, Linna Xu, Yan Chen, Susu Jiang, Guohua Zhang, Jianxiong Lu

    Published 2025-02-01
    “…Lower intramuscular fat (IMF) and excessive abdominal fat reduce carcass quality in broilers. …”
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    Article
  6. 146

    Impact of dietary lysophospholipids supplementation on growth performance, meat quality, and lipid metabolism in finishing bulls fed diets varying in fatty acid saturation by Meimei Zhang, Haixin Bai, Ruixue Wang, Yufan Zhao, Wenzhu Yang, Jincheng Liu, Yonggen Zhang, Peixin Jiao

    Published 2025-01-01
    “…Feeding lysophospholipids improved growth and feed conversion ratio and altered meat quality by increasing muscle pH24h, redness values (24 h), IMF content, and concentrations of C18:3, C20:5 and total polyunsaturated fatty acids. …”
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  7. 147

    Deep Roots of Fiscal Behavior by Serhan Cevik, Katerina Teksoz

    Published 2014-05-01
    “…In addition, the paper finds that macro-financial factors (such as real exchange rate, financial development, interest rates, asset prices, and natural resource rents) and demographic and institutional factors (such as the old-age dependency ratio, the quality of institutions, and policy anchors such as fiscal rules and IMF-supported stabilization programs) tend to have a significant effect on fiscal policy behavior. …”
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  8. 148

    Fault Feature Analysis and Diagnosis Method of Rolling Bearing based on Empirical Mode Decomposition and Deep Belief Network by Yu Xiao, Fan Chunyang, Dong Fei, Ding Enjie, Wu Shoupeng, Wang Xin

    Published 2018-01-01
    “…In order to realize the intelligent diagnosis of rolling bearing failure,a fault diagnosis model of vibration signal based on empirical mode decomposition( EMD) and deep belief network( DBN) is proposed.Firstly,the vibration signal is processed by empirical mode decomposition,and the statistical parameters of the effective intrinsic modal function( IMF) component and its Hilbert envelope are obtained as the original feature set. …”
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    Article
  9. 149

    Trade Opportunity of Potential Agricultural Commodities between Turkey and Indonesia (Case Study Palm Oil) by Hari Haryadi, Cennet OGUZ

    Published 2019-07-01
    “…The secondary data obtained from UN Comrade, FAOSTAT, IMF, World Bank, Ministry of Commerce, Ministry of Agriculture and other relevant agencies. …”
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    Article
  10. 150

    Belize’s 2016–17 Sovereign Debt Restructuring – Third Time Lucky? by Tamon Asonuma, Michael G. Papaioannou, Eriko Togo, Bert van Selm

    Published 2020-12-01
    “…As was the case in the earlier two restructurings, in 2006–07 and in 2012–13, the 2016–17 debt restructuring was executed through collaborative engagement with creditors outside an IMF-supported program. While providing liquidity relief and partially addressing long-term debt sustainability concerns, the restructuring will need to be underpinned by ambitious fiscal consolidation and growth-enhancing structural reforms to secure durable gains and avoid future debt distress situations.…”
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  11. 151

    Gear Pitting Fault Diagnosis Based on Improved Variational Modal Decomposition by Ganqi Feng, Le Li, Yongjian Ji, Liyong Wang, Changsong Zheng, Fuhua Wei

    Published 2022-08-01
    “…We screen the intrinsic mode function(IMF) for envelope adjustment and analyze the characteristic information of the gear pitting fault through the envelope spectrum. …”
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    Article
  12. 152

    CRACK FAULT DIAGNOSIS OF ROTOR BASED ON VMD AND AR MODEL by ZHONG ZhiXian, JIAO BoLong, WANG JiaYuan, LIU YiXin, ZHU ChangSheng

    Published 2020-01-01
    “…A number of Intrinsic Mode Function are obtained by VMD as the preprocessing of the AR model. The AR model for each IMF component is established. The variance of the model parameters and residuals is calculated by the least square method. …”
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  13. 153

    Fault Diagnosis of Rolling Bearing based on MEEMD-DHENN by Wang Jinrui, Xie Lirong, Wang Zhongqiang, Niu Yongchao

    Published 2018-01-01
    “…The vibration signal is decomposed by MEEMD,and using variance contribution to select out the Principal Intrinsic Mode Function( PIMF),one can calculate the permutation entropy of the IMF which obtained by using Complementary Ensemble Empirical Mode Decomposition( CEEMD),it is basic to deal with the illusive component,and the others are reconstructed and decomposed by using EMD,the variance contribution is calculated,through Hilbert transform,characteristic matrix is constructed. …”
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  14. 154

    Empirical mode decomposition analysis of climate changes with special reference to rainfall data

    Published 2006-01-01
    “…This method could decompose any time-varying data into a finite set of functions called “intrinsic mode functions” (IMFs). The EMD analysis successively extracts the IMFs with the highest local temporal frequencies in a recursive way. …”
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  15. 155

    FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVM by BAO Jie, JING Bo, JIAO XiaoXuan, ZHANG QingYi, ZHANG Yu

    Published 2022-01-01
    “…Then in the simulation I decomposed the vibration signals by using CEEMD method and calculated the Shannon entropy of IMF. Based on the above results, I selected the energy value and the mean value of pressure signal as the input eigenvectors of SVM, and used the SVM optimized by Gapso the to diagnose the fault types of fuel pump. …”
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    Article
  16. 156

    Foreign Consortium Institution and the Economic Dependency of Indonesia during the New Order: From IGGI to CGI by Noor Naelil Masruroh, Haryono Rinardi

    Published 2022-06-01
    “…Both institutions rescheduled the debt of Indonesia to the creditor countries and opened networking access of international donor from the government, private, or international donor institutions such as World Bank and IMF in two mechanisms long-term and short-term. …”
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  17. 157

    Bearing Fault Diagnosis Method based on Self-adaptive Stochastic Resonance of Genetic Algorithm and VMD by Zhang Chao, He Yuanyuan

    Published 2018-01-01
    “…By using the genetic algorithm,the a and b that are structure parameter of re-scaling stochastic resonance are optimized,and the optimal value is selected to drag-in the re-scaling stochastic resonance,the de-noising of measured signal is carried out,Finally,the de-noising signal is decomposed by VMD,from the component spectrum diagram of each IMF,the bearing fault characteristic frequency can be found. …”
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    Article
  18. 158

    Bearing fault diagnosis method based on SAVMD and CNN by SONG ChunSheng, LIANG YaRu, LU NiFang, DU Gang, JIA Bo

    Published 2024-06-01
    “…The intrinsic mode function (IMF) components were reconstructed by weighted kurtosis evaluation index, put them into convolutional neural network (CNN) model for fault classification. …”
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    Article
  19. 159

    COVID-19 and Economic Growth: Does Good Government Performance Pay Off? by Michael König, Adalbert Winkler

    Published 2020-07-01
    “…We analyse whether and to what extent the quality of government policies in handling the health aspects of the crisis influence cross-country differences in the economic impact of the pandemic as projected by the OECD, the IMF and the World Bank. We measure policy quality by a recently published Economist Intelligence Unit index and a COVID-19 Misery index combining the stringency of government-imposed distancing measures with the COVID-19 fatality rate. …”
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  20. 160

    WEAK FAULT FEATURE EXTRACTION OF ROLLING BEARING BASED ON PARAMETER OPTIMIZED MOMEDA AND CEEMDAN by HAN XueFei, SHI Zhan, HUA YunSong

    Published 2021-01-01
    “…Then,the CEEMDAN method was used to decompose the de-noised signal,and the signal reconstruction was carried out by selecting the intrinsic mode function( IMF) containing rich fault information according to the weighted kurtosis( WK) index. …”
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    Article