Global Advanced Research Journal of Engineering, Technology and Innovation (GARJETI) SSN: 2315-5124 June 2013 Vol. 2(5), pp 144-152

Copyright © 2013 Global Advanced Research Journals   

 

Original Research Articles

Crack detection of a cantilever beam using kohonen network techniques 

Sasanka Choudhury1* and Dayal Parhi R2 

1Asst. Professor, Department of Mechanical Engineering, KMBB College of Engineering & Technology, Khurda

2Professor, Department of Mechanical Engineering, National Institute of Technology, Rourkela

*Corresponding Author’s E-mail: choudhury.sasanka@yahoo.com 

Accepted June 2013

 

Abstract 

The issue of crack detection and diagnosis has gained wide spread industrial interest. Crack/damage affects the industrial economic growth. Generally damage in a structural element may occur due to normal operations, accidents, deterioration or severe natural events such as earth quake or storms. Damage can be analyzed through visual inspection or by the method of measuring frequency, mode shape and structural damping. Damage detection by visual inspection is a time consuming method and measuring of mode shape as well as structural deflection is difficult rather than measuring frequency. As Non- destructive method for the detection of crack is favorable as compared to destructive methods. So, our analysis has been made on the basis of non-destructive methods with the consideration of natural frequency. Here the crack is transverse surface crack. In the current analysis, methodologies have been developed for damage detection of a cracked cantilever beam using kohonen network. Theoretical analysis has been carried out to calculate the natural frequency with the consideration of mass and stiffness matrices. The data obtained from theoretical analysis has been fed to kohonen competitive learning network. Kohonen network is nothing but a competitive learning network is used here for the detection of crack depth and location. It is processed through a vector quantization algorithm. 

Keywords: Damage; vibration; natural frequency; kohonen network.

Related Articles


Original Research Articles
Ahmed Nabih Zaki Rashed
Avalanche Photodiodes APDs Under High Thermal and Protons Irradiation Environments
Glo. Adv. Res. J. Eng. Technol. Innov. May 2012 Vol: 1(2): - [Abstract] [Full Text - PDF] (873 KB)
Terkula Kpela, Elizabeth B Umoren and Abue D Andrew
Comparative study of the protective effects of ethanol extract of neem leaves and vitamin E on cisplatin-induced kidney damage in wistar rats
Glo. Adv. Res. J. Eng. Technol. Innov. May 2013 Vol: 2(5): - [Abstract] [Full Text - PDF] (1,355 KB)
Alaa El-Din H Sayed, Sara S Abdel Hakeem, Usama M Mahmoud and Imam A Mekkawy
4-Nonylphenol induced morphological and histopathological malformations in Bufo regularis tadpoles
Glo. Adv. Res. J. Eng. Technol. Innov. September 2012 Vol: 1(6): - [Abstract] [Full Text - PDF] (1,498 KB)
María Dolores Guamán Guevara, Elías David Caisa Yucaila, Amparito Cecilia León Saltos, Gabriel Arturo Pazmiño Solys, Jorge Iván Carrillo Hernandez and José Luis Vasconez Fuentes
The quality of life at work as a factor involved in the intention of labor resignation
Glo. Adv. Res. J. Eng. Technol. Innov. June 2017 Vol: 6(4): - [Abstract] [Full Text - PDF] (128 KB)
Nabil Laayouj and Hicham Jamouli
Remaining Useful Life Prediction of Lithium ion Battery Degradation for a Hybrid Electric Vehicle
Glo. Adv. Res. J. Eng. Technol. Innov. February 2015 Vol: 4(2): - [Abstract] [Full Text - PDF] (320 KB)
Review
Salau IA and Shehu
An overview of the fungal diseases of vegetables in Sokoto State, Nigeria.
Glo. Adv. Res. J. Eng. Technol. Innov. January 2015 Vol: 4(1): - [Abstract] [Full Text - PDF] (130 KB)

Current Issue

Viewing Options

View Full Article - PDF
Download Full Article - PDF

Search for Articles

Sasanka Choudhury on Google Scholar
Sasanka Choudhury on Pubmed
Dayal Parhi R on Google Scholar
Dayal Parhi R on Pubmed

Statistics

Viewed 1555
Printed 1689
Downloaded 1068
Powered By iPortal Works