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Dynamic Behaviour and Crack Detection of a Multi Cracked Rotating Shaft using Adaptive Neuro-Fuzzy-Inference System: Vibration Analysis of Multi Cracked Rotating Shaft

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  • Rajeev Ranjan

    (Department of Mechanical Engineering, Haldia Institute of Technology, Haldia, India)

Abstract

The presence of crack changes the physical characteristics of a structure which in turn alter its dynamic response characteristics. So it is important to understand dynamics of cracked structures. Crack depth and location are the main parameters influencing the vibration characteristics of the rotating shaft. In the present study, a technique based on the measurement of change of natural frequencies has been employed to detect the multiple cracks in rotating shaft. The model of shaft was generated using Finite Element Method. In Finite Element Analysis, the natural frequency of the shaft was calculated by modal analysis using the software ANSYS. The Numerical data were obtained from FEA, then used to train through Adaptive Neuro-Fuzzy-Inference System. Then simulations were carried out to test the performance and accuracy of the trained networks. The simulation results show that the proposed ANFIS estimate the locations and depth of cracks precisely.

Suggested Citation

  • Rajeev Ranjan, 2016. "Dynamic Behaviour and Crack Detection of a Multi Cracked Rotating Shaft using Adaptive Neuro-Fuzzy-Inference System: Vibration Analysis of Multi Cracked Rotating Shaft," International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME), IGI Global, vol. 6(4), pages 1-10, October.
    • Handle: RePEc:igg:jmmme0:v:6:y:2016:i:4:p:1-10
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