Damage Identification of Mechanical Systems using Genetic Algorithms | Vibration based Damage Identification and Condition Monitoring

Bsn Murthy (u. a.)

ISBN 10: 3844324828 / ISBN 13: 9783844324822

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Damage Identification of Mechanical Systems using Genetic Algorithms | Vibration based Damage Identification and Condition Monitoring | Bsn Murthy (u. a.) | Taschenbuch | 144 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844324822 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106973554

Bibliographic Details

• Title: Damage Identification of Mechanical Systems using Genetic Algorithms | Vibration based Damage Identification and Condition Monitoring
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3844324828
• ISBN 13: 9783844324822
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 233 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Damage prediction in mechanical and structural systems is establishing a prominent role in modern engineering. Unlike conventional NDT methods, vibration based damage methods give ample flexibility to understand the extent of expected damages in the system. Measurement of vibration characteristics like natural frequencies and mode shapes, Fourier responses and transient responses can help in comprehending the present status of a system either by comparing with their baseline equivalents or by formulating residual functions. Current damage- detection methods are varied like visual or localized experimental methods such as acoustic or ultrasonic methods, magnetic field methods, radiograph, eddy- current methods and thermal field methods.The book in that direction, assumes vital importance in the contemporary vibration technology. In this procedure the minimization of residues is carried out using non-conventional optimization techniques like genetic algorithms. Residual functions are developed with various types of outputs and effectiveness is verified.

About the Author

Dr.BSN Murhty complted his BE in 1997 ME in 2001 and Ph.D in 2008 from Andhra University.At present he working as an Associate Professor in the Dept of Mech Engg,GITM University, Andhra Pradesh. Dr.Murthy published research papers in various international journals and he have life member of societies like Institute of Engineers, ISTE,CMSI.