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In view of this, strong ambient noise easily masks faulty signs of rolling bearings, resulting in inaccurate identification or even totally missing the real fault frequencies. To overcome this problem, we propose a reinforced ensemble local mean decomposition method to capture and screen the essential faulty frequencies of rolling bearing, further boosting fault diagnosis accuracy. Firstly, the vibration signal is decomposed into a series of preliminary features through ensemble local mean decomposition, and then the frequency components above the average level are energy-enhanced. In this way, principal frequency components related to rolling bearing failure can be identified with the fast spectral kurtosis algorithm. Finally, the efficacy of the proposed approach is verified through both a benchmark case and a practical platform. The results show that the selected fault characteristic components are accurate, and the identification and diagnosis of rolling bearing status are improved. Especially for the signals with strong noise, the proposed method still could accurately diagnose fault frequency.<\/jats:p>","DOI":"10.1155\/2021\/2744193","type":"journal-article","created":{"date-parts":[[2021,12,29]],"date-time":"2021-12-29T22:39:00Z","timestamp":1640817540000},"page":"1-12","source":"Crossref","is-referenced-by-count":4,"title":["Fault Frequency Identification of Rolling Bearing Using Reinforced Ensemble Local Mean Decomposition"],"prefix":"10.1155","volume":"2021","author":[{"given":"Bo","family":"Qin","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, China"},{"name":"Mining Research Institute, Inner Mongolia University of Science and Technology, Baotou, China"}]},{"given":"Quanyi","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, China"}]},{"given":"Juanjuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Baotou Vocational and Technical College, Baotou, China"}]},{"given":"Zixian","family":"Li","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, China"},{"name":"State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4184-9022","authenticated-orcid":true,"given":"Yan","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.3390\/app8091538"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.3390\/app11073289"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/access.2017.2766232"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.04.030"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.10.006"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1998.0193"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2018.12.002"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2005.0058"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.3390\/s18041203"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/s12206-017-0306-y"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.10.028"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.05.009"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2015.08.034"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.107709"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.09.042"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.07.006"},{"issue":"18","key":"17","first-page":"190","article-title":"Fault diagnosis of roller bearings based on ELMD sample entropy and Boosting-SVM","volume":"35","author":"Z. 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