Review of Techniques for Fault Diagnosis in Damaged Structure and Engineering System

Focus has been made to give an overview of various methodologies used in fault diagnosis and condition monitoring. A crack in vibrating structures can lead to premature failure if it is not detected in time. Researchers have been working on the dynamics of cracked structures for decades to be able to monitor a structure and diagnose fault at the earliest possible stage. An effort has been made in the current paper to understand different techniques and methodologies for fault diagnosis and condition monitoring of damaged structures subjected to varied dynamic loading. The methods used are classical, wavelet transform, and finite element methods, artificial intelligence methods, and numerical and experimental methods. Using classical methods, engineers are able to predict faults. But using artificial intelligence techniques, it is observed that the forecasting time for fault diagnosis improves a lot in comparison to other methodologies.

• Record URL:
  https://doi.org/10.1155/2012/327569
• Record URL:
  http://www.hindawi.com/journals/ame/2012/327569/
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/16878132
• Supplemental Notes:
  • Abstract reprinted with permission from the publisher
• Authors:
  • Thatoi, Dhirendra Nath
  • Das, Harish Ch
  • Parhi, Dayal R
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 11p
• Serial:
  • Advances in Mechanical Engineering
  • Volume: 2012
  • Publisher: Sage Publications, Incorporated
  • ISSN: 1687-8132
  • EISSN: 1687-8140
  • Serial URL: https://journals.sagepub.com/home/ade
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Artificial intelligence; Cracking; Defects; Deformation; Fault monitoring; Finite element method; Structural analysis; Structural engineering; Structures; Wavelets
• Uncontrolled Terms: Damage diagnosis (Structural engineering)
• Subject Areas: Design; Transportation (General); I20: Design and Planning of Transport Infrastructure;

Filing Info

• Accession Number: 01379257
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 1 2012 8:42AM