Adaptive neuro-fuzzy-based vibration approach for structural fault diagnosis
In recent times, damage identification based on vibration methods are emerging as common approaches, in which the techniques apply the vibration response of a monitored structure, such as modal frequencies and damping ratios, to evaluate its condition and detect structural damage. The basis of the v...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTHM
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/99022/1/SarehatiUmar2022_AdaptiveNeuroFuzzyBasedVibrationApproach.pdf http://eprints.utm.my/id/eprint/99022/ https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/9723 |
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| Summary: | In recent times, damage identification based on vibration methods are emerging as common approaches, in which the techniques apply the vibration response of a monitored structure, such as modal frequencies and damping ratios, to evaluate its condition and detect structural damage. The basis of the vibration-based health monitoring method is that when there are alterations in the physical characteristics of a structure, there will also be changes in its vibration properties. This paper proposed a neuro-fuzzy artificial intelligence method, called adaptive neuro-fuzzy inference system (ANFIS), to detect damage using modal properties. To generate the modal characteristics of the structures, experimental study and finite element analysis of I-beams with single damage cases were performed. The results showed that the ANFIS approach was able to detect the magnitude and location of the damage with a significant degree of precision, and notably reduced computational time. |
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