Feasibility of Flaw Detection in Railroad Wheels Using Acoustic Signatures

Details

• Creators:
  Nagy K. ; Finch, R. D.
• Corporate Creators:
  John A. Volpe National Transportation Systems Center, (U.S.) ; University of Houston
• Corporate Contributors:
  United States. Federal Railroad Administration
• Subject/TRT Terms:
  • Nondestructive tests
  • Ultrasonic tests
  • Sonic tests
  • Acoustic signature
  • Computer printouts
  • Pattern recognition systems
  • Railroad cars
  • Wheels
  • Cracking
  • Defects
  More +
• Publication/ Report Number:
  DOT-TSC-FRA-76-6 ; FRA/ORD-76/290
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Federal Railroad Administration
• NTL Classification:
  AGR-SAFETY AND SECURITY-SAFETY AND SECURITY ; NTL-RAIL TRANSPORTATION-RAIL TRANSPORTATION ; NTL-RAIL TRANSPORTATION-Rail Safety ; NTL-SAFETY AND SECURITY-Rail Safety ; NTL-SAFETY AND SECURITY-Vehicle Design
• Abstract:
  The feasibility study on the use of acoustic signatures for detection of flaws in railway wheels was conducted with the ultimate objective of development of an intrack device for moving cars. Determinations of the natural modes of vibrating wheels under various conditions are reported. Differences in acoustic signatures are found between good and cracked wheels, including spectral changes and variations in the time decay of sound. Various sounds occurring in normal railroad practice, such as rolling noise on welded rail and over joints and retarder screech were investigated. It was concluded that special purpose impacters will have to be used for a servicable device. Pattern recognition techniques were used for selecting good and bad wheels with a computerized processing scheme. A laboratory demonstration system has been constructed and found to be 85% reliable when system malfunctions are discounted.
• Format:
  PDF
• Funding:
  DOT-FR-30002
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/10318/dot_10318_DS1.pdf
• File Type:
  [PDF - 8.24 MB]
• Collection(s):
  Volpe Center
• Main Document Checksum:
  urn:sha256:dea21e7eaa1865dfc6b5eff2f4269ba2e28882e09c6f74c98f8b1c999a289a79