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Improved Sample Entropy Algorithm Based on Symbolic Variable Matrix
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Yan-yang LI1, 2, Wei LUO3, *
Science Technology and Engineering | 2025, 25(5) : 1913 - 1919
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Science Technology and Engineering | 2025, 25(5): 1913-1919
• Papers·Mechanical and Instrumental Industry •
Improved Sample Entropy Algorithm Based on Symbolic Variable Matrix
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Yan-yang LI1, 2, Wei LUO3, *
Affiliations
  • 1 College of Civil Engineering and Water Conservancy Institute, Heilongjiang Bayi Agricultural University, Daqing 163319, China
  • 2 College of Mechanical Science and Engineering, Northeast Petroleum University, Daqing 163318, China
  • 3 College of Intelligent Manufacturing, Hunan Railway Professional Technology College, Zhuzhou 412001, China
Published: 2025-02-18 doi: 10.12404/j.issn.1671-1815.2309190
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Aiming at the problem of redundancy in the phase space reconstruction of sample entropy algorithm, the phase space reconstruction process of sample entropy algorithm was replaced by a symbolic variable matrix, and an improved sample entropy algorithm was established. The analysis of white noise and powder noise simulation signals shows that the improved sample entropy algorithm can extract signal features effectively and has high computational efficiency. In the past, bearing clearance faults of complex compressors were studied, and the improved sample entropy algorithm was applied to extract features and compared with sample entropy. The feature extraction results of the method are highly consistent with the sample entropy algorithm, and the computational efficiency of the algorithm is much higher than that of the sample entropy algorithm.

sample entropy  /  improved sample entropy  /  computational efficiency  /  feature extraction  /  reciprocating compressor
Yan-yang LI, Wei LUO. Improved Sample Entropy Algorithm Based on Symbolic Variable Matrix[J]. Science Technology and Engineering, 2025 , 25 (5) : 1913 -1919 . DOI: 10.12404/j.issn.1671-1815.2309190
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Year 2025 volume 25 Issue 5
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Article Info
doi: 10.12404/j.issn.1671-1815.2309190
  • Receive Date：2023-11-22
  • Online Date：2025-07-29
  • Published：2025-02-18
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History
  • Received：2023-11-22
  • Revised：2024-07-19
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Affiliations
    1 College of Civil Engineering and Water Conservancy Institute, Heilongjiang Bayi Agricultural University, Daqing 163319, China
    2 College of Mechanical Science and Engineering, Northeast Petroleum University, Daqing 163318, China
    3 College of Intelligent Manufacturing, Hunan Railway Professional Technology College, Zhuzhou 412001, China
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