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Blind Deconvolution Algorithm Based on NRBO to Optimize Filter Coefficients and Its Application in Early Weak Fault Diagnosis of Rolling Bearings
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Ming-yue YANG1, 2, 3, Zhang DANG1, 2, 3, *, Tian-ci XIA1, 2, 3, Rui YUAN1, 2, 3
Science Technology and Engineering | 2025, 25(18) : 7604 - 7612
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Science Technology and Engineering | 2025, 25(18): 7604-7612
• Papers·Mechanical and Instrumental Industry •
Blind Deconvolution Algorithm Based on NRBO to Optimize Filter Coefficients and Its Application in Early Weak Fault Diagnosis of Rolling Bearings
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Ming-yue YANG1, 2, 3, Zhang DANG1, 2, 3, *, Tian-ci XIA1, 2, 3, Rui YUAN1, 2, 3
Affiliations
  • 1 School of Mechanical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
  • 2 Key Laboratory of Metallurgical Equipment and Its Control, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China
  • 3 Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
Published: 2025-06-28 doi: 10.12404/j.issn.1671-1815.2406762
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In traditional blind deconvolution algorithms, recalculating the gradient or redesigning the optimization approach for filter coefficients becomes necessary when altering the characterization index. This requirement can render the development process of new blind deconvolution algorithms inflexible. To address these issues, a blind deconvolution algorithm that employs NRO(Newton-Raphson optimizer) to seek out the optimal filter coefficients was proposed. Initially, generalized spherical coordinate transformation was used to define the search range for the filter coefficients. Subsequently, the generalized lp/lq norm of the envelope spectrum was adopted as the characterization index. The proposed blind deconvolution algorithm is then utilized for the early detection of minor faults in rolling bearings. Both simulation and experimental results confirm the efficacy of the proposed algorithm, demonstrating its faster convergence rate compared to classical PSO(particle swarm optimization).

blind deconvolution  /  NRBO  /  parameter optimization  /  fault diagnosis  /  rolling bearing
Ming-yue YANG, Zhang DANG, Tian-ci XIA, Rui YUAN. Blind Deconvolution Algorithm Based on NRBO to Optimize Filter Coefficients and Its Application in Early Weak Fault Diagnosis of Rolling Bearings[J]. Science Technology and Engineering, 2025 , 25 (18) : 7604 -7612 . DOI: 10.12404/j.issn.1671-1815.2406762
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Article Info
doi: 10.12404/j.issn.1671-1815.2406762
  • Receive Date：2024-09-09
  • Online Date：2025-12-17
  • Published：2025-06-28
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  • Received：2024-09-09
  • Revised：2025-04-02
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Affiliations
    1 School of Mechanical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
    2 Key Laboratory of Metallurgical Equipment and Its Control, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China
    3 Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
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