Adaptive Neuro-Fuzzy-based Vibration Approach for Structural Fault Diagnosis

Authors

  • S. J. S. Hakim Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, University Tun Hussein onn Malaysia (UTHM)
  • A. F. Kamarudin Structural Dynamic & Computational Engineering (StrucDyCE) Group, Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, University Tun Hussein onn Malaysia (UTHM) https://orcid.org/0000-0001-5327-1769
  • S. N. Mokhatar Structural Dynamic & Computational Engineering (StrucDyCE) Group, Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, University Tun Hussein onn Malaysia (UTHM) https://orcid.org/0000-0003-2423-2925
  • Z. M. Jaini Structural Dynamic & Computational Engineering (StrucDyCE) Group, Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, University Tun Hussein onn Malaysia (UTHM) https://orcid.org/0000-0002-9236-6434
  • S Umar School of Civil Engineering, Faculty of Engineering, University Technology Malaysia, 81310 Skudai, Johor, Malaysia
  • N Mohamad Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, University Tun Hussein onn Malaysia (UTHM) https://orcid.org/0000-0002-2166-0433
  • N Jamaluddin Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, University Tun Hussein onn Malaysia (UTHM) https://orcid.org/0000-0002-4457-8352

Keywords:

Fault Diagnosis, modal analysis, adaptive neuro-fuzzy inference system (ANFIS), finite element

Abstract

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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Published

29-11-2022

How to Cite

Hakim, S. J. S., Kamarudin, A. F. ., Mokhatar, S. N. ., Jaini, Z. M., Umar, S. ., Mohamad, . N. ., & Jamaluddin, N. . (2022). Adaptive Neuro-Fuzzy-based Vibration Approach for Structural Fault Diagnosis. International Journal of Integrated Engineering, 14(6), 378–388. Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/9723

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