TRANSPORT TECHNICS. INVESTIGATION OF ELEMENTS. RELIABILITY

Experience of applying the acoustic emission method for monitoring systems

  • 1 Institute of Aeronautics of Riga Technical University, Riga, Latvija
  • 2 Testing laboratory: Riga, Latvija
  • 3 Laboratory of Non-Destructive Testing, Riga, Latvija
  • 4 Institute of Aeronautics of Riga Technical University., Riga
  • 5 Laboratory of non-destructive testing: Institute of Aeronautics of Riga Technical University., Riga, Latvija

Abstract

An important aspect in organizing acoustic emission monitoring is the analysis of recorded data and selecting useful information. Despite noise suppression using frequency methods, its quantity in the recorded information can reach 99% because the process of degradation during operation typically progresses slowly, whereas the presence of acoustic noise is an inherent attribute of the technological process.
Noise suppression after data recording is carried out within the framework of the monitoring system’s software, although filtering algorithms may be specific to each application.

Keywords

References

  1. Аспекты применения метода акустической эмиссии для мониторинга опасных промышленных объектов. Шемякин В.В.,Стрижков С.А. Журнал «В мире неразрушающего контроля», 2004. № 4 (26)
  2. BS EN 13554:2011 Non-destructive testing. Acoustic emission testing. General principles (British Standard)
  3. BS EN 15495:2007 Non-destructive testing. Acoustic emission. Examination of metallic pressure equipment during proof testing. Zone location of AE sources
  4. ASTM Е 1139-02. Standard Practice for Continuous Monitoring of Acoustic Emission from Metal Pressure Boundaries. Документ Американского Общества по Тестированию Материалов.
  5. AIRFORCE C - 130 RAINBOW FITTING DIAGNOSTIC TECHNOLOGY DEVELOPMENT Jeffrey Banks, Clark Moose, Steve Conlon, and Karl Reichard, Penn State Applied Research Laboratory Gary Steffes, AFRL-MLLP Aerospace Conference, 1-8 March 2008.
  6. In-Flight Fatigue Crack Monitoring in Aircraft Using Acoustic Emission and Neural Networks. Eric. v. K. Hil,l Samuel G. Vaughn, Christopher L. Rovik www.auravector.com/ppt/In-Flight Monitoring.ppt
  7. STRUCTURAL HEALTH MONITORING OF FULLSCALE COMPONENTS USING ACOUSTIC EMISSION AND FIBER OPTIC SENSORS. Craig B. Van Way, Jayanth N. Kudva, Capt. V. Scott May, Michael L. Zeigler http://ftp.rta.nato.int/public/PubFullText/RTO/MP/RTO-MP-007/$MP-007-19.PDF

Article full text

Download PDF