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This paper reports the development of a fuzzy feature fusion and multimodal regression method for the degradation prognosis of mechanical components. Initially, the raw features from the vibration signals of the mechanical components are extracted. A degradation index is subsequently yielded by merging the obtained features through\/using the fuzzy fusion technique. The ensemble empirical mode decomposition is then introduced to decompose the fusion index into several multimodal sub-series to acquire more detailed information. Extreme learning machines are established to predict the sub-series in different modes. The predicted results are obtained by integrating the multimodal sub-results. The reported approach was evaluated with real data from a rolling element bearing. Moreover, two peer models were imported to validate the effectiveness of the proposed method. The experimental results indicate that the reported approach is capable of erecting the degradation index reflecting the bearing degradation and that it had better performance in the remaining useful life prediction than the peer methods.<\/jats:p>","DOI":"10.3233\/jifs-169531","type":"journal-article","created":{"date-parts":[[2018,6,12]],"date-time":"2018-06-12T18:29:13Z","timestamp":1528828153000},"page":"3523-3533","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Fuzzy feature fusion and multimodal degradation prognosis for mechanical components"],"prefix":"10.1177","volume":"34","author":[{"given":"Xuejiao","family":"Li","sequence":"first","affiliation":[{"name":"Department of Architecture and Civil Engineering, Chongqing Telecommunication Polytechnic College, Chongqing, China"}]},{"given":"Yongmei","family":"Ren","sequence":"additional","affiliation":[{"name":"Department of Architecture and Civil Engineering, Chongqing Telecommunication Polytechnic College, Chongqing, China"}]},{"given":"Xiaoyong","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Management, Chongqing Jiaotong University, Chongqing, China"}]}],"member":"179","published-online":{"date-parts":[[2018,6,11]]},"reference":[{"issue":"2","key":"e_1_3_2_2_2","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1109\/TR.2012.2194175","article-title":"Remaining useful lifeestimation of critical components with application to bearingsreliability","volume":"61","author":"Medjaher K.","year":"2012","unstructured":"MedjaherK., Tobon-MejiaD.A. and ZerhouniN., Remaining useful lifeestimation of critical components with application to bearingsreliability, IEEE Transactions on Reliability61(2) (2012), 292\u2013302.","journal-title":"IEEE Transactions on Reliability"},{"key":"e_1_3_2_3_2","unstructured":"LaayoujN. and JamouliH. 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