Defect reconstruction from magnetic flux leakage measurements employing modified cuckoo search algorithm
| Autor: | Daqian Zhang, Chen Huang, Jiyou Fei |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
02 engineering and technology Interference (wave propagation) Robustness (computer science) Nondestructive testing 0502 economics and business 0202 electrical engineering electronic engineering information engineering defect profile reconstruction QA1-939 single-dimension Cuckoo search multi-strategy difference evolution mfl signals business.industry Applied Mathematics 05 social sciences Magnetic flux leakage General Medicine cuckoo search Computational Mathematics Noise Modeling and Simulation 020201 artificial intelligence & image processing General Agricultural and Biological Sciences business Evolution strategy Algorithm MCS algorithm 050203 business & management TP248.13-248.65 Mathematics Biotechnology |
| Zdroj: | Mathematical Biosciences and Engineering, Vol 18, Iss 2, Pp 1898-1925 (2021) |
| ISSN: | 1551-0018 |
| DOI: | 10.3934/mbe.2021099?viewType=HTML |
| Popis: | Accurate and efficient estimation for defect profile of magnetic flux leakage (MFL) signals is important for nondestructive evaluation in industry. To improve the accuracy of defect profile reconstruction, an improved reconstruction method based on modified cuckoo search (CS), called MCS, is proposed in this paper. Firstly, a novel single-dimension updating evolution strategy is proposed to avoid the interference between multiple dimensions, which can make full use of the appropriate nest position in the historical search. Secondly, an adaptive multi-strategy difference evolution is introduced into the evolution process to improve the diversity and efficiency of CS algorithm. The proportion factor of each strategy in multi-strategy difference evolution is adjusted dynamically according to the value of the objective fitness. Finally, various MFL signals are selected to verify the effectiveness of the proposed MCS algorithm. The experiment results illustrate that the proposed method has high performance on the quality of the solution and robustness for noise. |
| Databáze: | OpenAIRE |
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