Multiple crack detection using wavelet transforms and energy signal techniques
Wavelet transforms are efficient tools for structural health monitoring (SHM) and damage detection. However, these methods are encountered with some limitations in practice. Thus, signal energy analysis is used as an alternative technique for damage detection. In this paper, discrete wavelet transfo...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2020-04-01
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| Series: | Fracture and Structural Integrity |
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| Online Access: | https://www.fracturae.com/index.php/fis/article/view/2729/2975 |
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| author | Jalal Akbari Majid Ahmadifarid Abbas Kazemi Amiri |
| author_facet | Jalal Akbari Majid Ahmadifarid Abbas Kazemi Amiri |
| author_sort | Jalal Akbari |
| collection | DOAJ |
| description | Wavelet transforms are efficient tools for structural health monitoring (SHM) and damage detection. However, these methods are encountered with some limitations in practice. Thus, signal energy analysis is used as an alternative technique for damage detection. In this paper, discrete wavelet transforms (DWT) and Teager energy operator (TEO) is applied to the curvature of the mode shapes of the beams, and the locations of the damages are identified. The results show that in comparison with the discrete wavelet transform, the signal energy operator has better performance. This superiority in detecting the damages, especially near the supports of the beam, is obvious and has enough sensitivities in low damage intensities. Additionally, the damage detection in the cases that the response data are noisy is investigated. For this purpose, by adding low-intensity noises to the curvature of the mode shapes, the abilities of the mentioned methods are evaluated. The results indicate that each method is not individually efficient in the detection of damages in noisy conditions, but the combination of them under noisy conditions is more reliable. |
| format | Article |
| id | doaj-art-1194b6e1ad1a4eceae6a5b0a1a06233a |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2020-04-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-1194b6e1ad1a4eceae6a5b0a1a06233a2025-01-02T20:56:27ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932020-04-01145226928010.3221/IGF-ESIS.52.2110.3221/IGF-ESIS.52.21Multiple crack detection using wavelet transforms and energy signal techniquesJalal AkbariMajid AhmadifaridAbbas Kazemi AmiriWavelet transforms are efficient tools for structural health monitoring (SHM) and damage detection. However, these methods are encountered with some limitations in practice. Thus, signal energy analysis is used as an alternative technique for damage detection. In this paper, discrete wavelet transforms (DWT) and Teager energy operator (TEO) is applied to the curvature of the mode shapes of the beams, and the locations of the damages are identified. The results show that in comparison with the discrete wavelet transform, the signal energy operator has better performance. This superiority in detecting the damages, especially near the supports of the beam, is obvious and has enough sensitivities in low damage intensities. Additionally, the damage detection in the cases that the response data are noisy is investigated. For this purpose, by adding low-intensity noises to the curvature of the mode shapes, the abilities of the mentioned methods are evaluated. The results indicate that each method is not individually efficient in the detection of damages in noisy conditions, but the combination of them under noisy conditions is more reliable.https://www.fracturae.com/index.php/fis/article/view/2729/2975multiple crack detectionwavelet transformssignal energymode shape curvature |
| spellingShingle | Jalal Akbari Majid Ahmadifarid Abbas Kazemi Amiri Multiple crack detection using wavelet transforms and energy signal techniques Fracture and Structural Integrity multiple crack detection wavelet transforms signal energy mode shape curvature |
| title | Multiple crack detection using wavelet transforms and energy signal techniques |
| title_full | Multiple crack detection using wavelet transforms and energy signal techniques |
| title_fullStr | Multiple crack detection using wavelet transforms and energy signal techniques |
| title_full_unstemmed | Multiple crack detection using wavelet transforms and energy signal techniques |
| title_short | Multiple crack detection using wavelet transforms and energy signal techniques |
| title_sort | multiple crack detection using wavelet transforms and energy signal techniques |
| topic | multiple crack detection wavelet transforms signal energy mode shape curvature |
| url | https://www.fracturae.com/index.php/fis/article/view/2729/2975 |
| work_keys_str_mv | AT jalalakbari multiplecrackdetectionusingwavelettransformsandenergysignaltechniques AT majidahmadifarid multiplecrackdetectionusingwavelettransformsandenergysignaltechniques AT abbaskazemiamiri multiplecrackdetectionusingwavelettransformsandenergysignaltechniques |