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An enhanced sparsity-driven morphological decomposition for weak impact fault diagnosis in energy equipment.

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Title: An enhanced sparsity-driven morphological decomposition for weak impact fault diagnosis in energy equipment.
Authors: Yan, Lu1 (AUTHOR) luyan@sdju.edu.cn, Li, Fu-Xing1 (AUTHOR), Yuan, Chi1 (AUTHOR), Hu, Zongmin2 (AUTHOR), Tong, Xiao-Chun3 (AUTHOR)
Source: Journal of Low Frequency Noise, Vibration & Active Control. Jun2026, Vol. 45 Issue 2, p940-957. 18p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Low+Frequency+Noise%2C+Vibration+%26+Active+Control%22">Journal of Low Frequency Noise, Vibration & Active Control</searchLink>. Jun2026, Vol. 45 Issue 2, p940-957. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193654778
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        Value: 10.1177/14613484251405718
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      – Code: eng
        Text: English
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        PageCount: 18
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      – TitleFull: An enhanced sparsity-driven morphological decomposition for weak impact fault diagnosis in energy equipment.
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            NameFull: Yan, Lu
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            NameFull: Li, Fu-Xing
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            NameFull: Yuan, Chi
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            NameFull: Hu, Zongmin
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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