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Research of early fault feature extraction of solar wheel based on parametric adaptive ICEEMDAN and MCKD
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Naizhuo ZHAO, Yumeng ZHAO, Chengfu MEN
Journal of Mechanical Strength | 2025, 47(6) : 57 - 65
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Journal of Mechanical Strength | 2025, 47(6): 57-65
• Vibration·Noise·Monitoring·Diagnosis •
Research of early fault feature extraction of solar wheel based on parametric adaptive ICEEMDAN and MCKD
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Naizhuo ZHAO, Yumeng ZHAO, Chengfu MEN
Affiliations
  • School of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China
Published: 2025-06-15 doi: 10.16579/j.issn.1001.9669.2025.06.007
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In order to solve the problem of difficult to accurately extract early faults of solar wheels under the strong noise background, an improved grey wolf algorithm (newGWO) was proposed to optimize and improve the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and the maximum correlated kurtosis deconvolution (MCKD) for early fault feature extraction of solar wheels.NewGWO was used to optimize the selection of parameters of the white noise amplitude weight and noise addition times that affected the decomposition effect.The fault vibration signal was decomposed by newGWO-ICEEMDAN, and the minimum envelope entropy was selected as the fitness function to obtain several related modal components.Then, the envelope spectrum peak factor was selected as the best modal component index. MCKD signals optimized by newGWO were enhanced for the selected optimal intrinsic mode function（IMF）components. Finally, an envelope demodulation analysis was performed on the obtained signals to extract the solar wheel fault characteristic frequency and multiple frequency components. Simulation signals and experiments show that this method can make the early fault impact characteristics more obvious, and realize the early fault characteristic frequency extraction of solar wheels.

Solar wheel  /  Early fault  /  Feature extraction  /  NewGWO  /  ICEEMDAN  /  MCKD
Naizhuo ZHAO, Yumeng ZHAO, Chengfu MEN. Research of early fault feature extraction of solar wheel based on parametric adaptive ICEEMDAN and MCKD[J]. Journal of Mechanical Strength, 2025 , 47 (6) : 57 -65 . DOI: 10.16579/j.issn.1001.9669.2025.06.007
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Year 2025 volume 47 Issue 6
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Article Info
doi: 10.16579/j.issn.1001.9669.2025.06.007
  • Receive Date：2023-11-28
  • Online Date：2026-03-18
  • Published：2025-06-15
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History
  • Received：2023-11-28
  • Revised：2023-12-20
Affiliations
    School of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China

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ZHAO Yumeng, E-mail：
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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