{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T05:39:05Z","timestamp":1770615545069,"version":"3.49.0"},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1109\/i2mtc.2018.8409666","type":"proceedings-article","created":{"date-parts":[[2018,7,30]],"date-time":"2018-07-30T19:02:41Z","timestamp":1532977361000},"page":"1-5","source":"Crossref","is-referenced-by-count":20,"title":["Comparison of EMD and EEMD in rolling bearing fault signal analysis"],"prefix":"10.1109","author":[{"given":"Ke","family":"Fang","sequence":"first","affiliation":[]},{"given":"Hesheng","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Hongmei","family":"Qi","sequence":"additional","affiliation":[]},{"given":"Yimei","family":"Dai","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2006.12.004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2004.01.006"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/S0888-3270(03)00099-2"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1016\/j.jocs.2017.04.008","article-title":"IMF mode demixing in EMD for jitter analysis[J]","author":"dama\u0161evi?ius","year":"2017","journal-title":"Journal of Computational Science"},{"key":"ref14","first-page":"904","article-title":"Ensemble empirical mode decomposition: A noise-assisted data analysis method[J]","volume":"1","author":"zhaohua","year":"2011","journal-title":"Advances in Adaptive Data Analysis"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1597","DOI":"10.1098\/rspa.2003.1221","article-title":"A study of the characteristics of white noise using the empirical mode decomposition method[J]","volume":"460","author":"zhaohua","year":"2004","journal-title":"Proceedings Mathematical Physical & Engineering Sciences"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1066","DOI":"10.1016\/j.jsv.2005.03.007","article-title":"Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics[J]","volume":"289","author":"qiu","year":"2006","journal-title":"Journal of Sound & Vibration"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2011.08.002"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1016\/j.ymssp.2005.09.011","article-title":"Research on the intrinsic mode function (IMF) criterion in EMD method[J]","volume":"20","author":"cheng","year":"2006","journal-title":"Mechanical Systems & Signal Processing"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1098\/rspa.1998.0193","article-title":"The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis","volume":"454","author":"huang","year":"1998","journal-title":"Proc R Soc Lond A 454 903&#x2013;995[J] Proceedings Mathematical Physical & Engineering Sciences"},{"key":"ref8","first-page":"29","article-title":"Comparing the applications of EMD and EEMD on time-frequency analysis of seismic signal[J]","author":"tong","year":"2012","journal-title":"Journal of Applied Geophysics"},{"key":"ref7","first-page":"187","article-title":"HHT analysis of the nonlinear and nonstationary annual cycle of daily surface air temperature data[M]","author":"samuel","year":"2005","journal-title":"Hilbert-Huang Transform and Its Applications"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/09349847.2015.1103921"},{"key":"ref1","first-page":"526","article-title":"Rolling bearing fault diagnosis based empirical wavelet transform using vibration signal[C]","author":"merainani","year":"2017","journal-title":"International Conference on Modelling Identification and Control"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2007.10.010"}],"event":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC )","location":"Houston, TX, USA","start":{"date-parts":[[2018,5,14]]},"end":{"date-parts":[[2018,5,17]]}},"container-title":["2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8401508\/8409512\/08409666.pdf?arnumber=8409666","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,31]],"date-time":"2018-07-31T07:49:59Z","timestamp":1533023399000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8409666\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/i2mtc.2018.8409666","relation":{},"subject":[],"published":{"date-parts":[[2018,5]]}}}