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| Damage identification of thin plate-like structures using empirical mode decomposition and a fuzzy entropy fusion method |
| WANG Jiacheng1,2,SONG Huijun1,3,WU Longyun2,3,LU Guangtao1,3,WANG Tao2,3 |
1.Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;
2.Precision Manufacturing Institute, Wuhan University of Science and Technology, Wuhan 430081, China;
3.Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China |
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Abstract This paper proposes a new fusion method of damage detection for thin-walled structure based on empirical mode decomposition (EMD) and fuzzy entropy (FEn). This method uses EMD to decompose the signal related with structural damages from the collected Lamb wave signals, and then selects the Fen of the extracted signal as a new damage index to characterize and detect the size of the damage. The experimental results of three specimens of Carbon Fiber Reinforced Polymer plates validates the proposed method, and the results also indicate that the normalized fuzzy entropy has a good linear relationship with the length of the simulated scratch damage on the CFRP plate and the length of the damage can be identified based on this linear relationship. Moreover, the proposed method has a better performance than that based on singular spectrum analysis and fuzzy entropy.
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Received: 06 June 2022
Published: 28 August 2023
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