Title: Analysis of methodologies applied for diagnosis of fault in vibrating structures

Authors: D.R.K. Parhi, Dash Amiya Kumar

Addresses: Department of Mechanical Engineering, N.I.T. Rourkela-769008, Orissa, India. ' Department of Mechanical Engineering, ITER, Khandagiri, Bhubaneswar-30, Orissa, India

Abstract: This paper presents a comprehensive review of methodologies and technologies in the domain of dynamic vibration of cracked structures. At first, the developments of work till date in the area of dynamic vibration of various structures are discussed. In the second phase, different methodologies are described with regard to the analysis of faulty structures. The methodologies mainly consist of energy methods, finite element methods, fuzzy inference techniques, neural networks, neuro-fuzzy adaptive techniques and genetic algorithms used for identifying the intensity and location of cracks. It has been found that, apart from conventional methods, artificial intelligence methods can be applied efficiently and smartly to detect faults in various dynamic systems.

Keywords: fuzzy logic; fuzzy inference; finite element method; FEM; dynamic vibration; crack; genetic algorithms; GAs; cracked structures; fault diagnosis; neural networks; vibrating structures.

DOI: 10.1504/IJVNV.2009.031131

International Journal of Vehicle Noise and Vibration, 2009 Vol.5 No.4, pp.271 - 286

Published online: 21 Jan 2010 *

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