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Effective NVH control requires accurate identification and analysis of vibration and noise sources, and a prerequisite for accurately identifying these sources is conducting thorough fault detection of related components. With the help of LabVIEW software, a system for empirical mode decomposition (EMD) and autocorrelation analysis was developed. Test results show that the autocorrelation signal analysis of the oil pan, generator, and cylinder head cover at 800\u00a0r\/min, compared with the EMD component signals, resulted in no clutter signals, confirming the absence of fault waves in the components.<\/jats:p>","DOI":"10.1177\/14727978251322269","type":"journal-article","created":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T13:26:10Z","timestamp":1741094770000},"page":"486-501","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Vibration fault diagnosis analysis of high-pressure common rail diesel engines based on empirical mode decomposition and autocorrelation algorithms"],"prefix":"10.66113","volume":"25","author":[{"given":"Tingting","family":"Cheng","sequence":"first","affiliation":[{"name":"Hubei University of Automotive Technology"},{"name":"Hubei University of Automotive Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dewei","family":"Hao","sequence":"additional","affiliation":[{"name":"Kunming University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lizhong","family":"Shen","sequence":"additional","affiliation":[{"name":"Kunming University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhua","family":"Bi","sequence":"additional","affiliation":[{"name":"Kunming University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","published-online":{"date-parts":[[2025,3]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2018.08.019"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2019.11.703"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3166069"},{"issue":"17","key":"e_1_3_2_5_2","first-page":"83","article-title":"Fault diagnosis of bearing in wind turbine based on empirical mode decomposition and divergence index","volume":"2012","author":"Guo YP","year":"2012","unstructured":"Guo YP, Yan WJ, Bao ZJ, et al. 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