Ruan, Xiaolong https://orcid.org/0009-0001-7181-9780
Yuan, Rui https://orcid.org/0000-0001-9758-5292
Dang, Zhang https://orcid.org/0000-0001-5922-0591
Lv, Yong https://orcid.org/0000-0003-2659-716X
Jing, Xiaolong https://orcid.org/0009-0006-6665-9678
Funding for this research was provided by:
National Natural Science Foundation of China (51875416)
Wuhan Key Research and Development Plan Artificial Intelligence Innovation Special Program (No.2023010402040005)
Hubei Provincial Natural Science Foundation Youth Program, Innovation Group Program, and Innovation Development Joint Key Program (2020CFA033)
14th Five Year Plan Hubei Provincial Advantaged Characteristic Disciplines (Groups) Project of Wuhan University of Science and Technology (2023B0301)
Article Title: Iterative feature mode decomposition: a novel adaptive denoising method for mechanical fault diagnosis
Journal Title: Measurement Science and Technology
Article Type: paper
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Publication dates
Date Received: 2024-04-09
Date Accepted: 2024-05-23
Online publication date: 2024-06-03