Fatigue Crack Detection at Gearbox Spline Component using Acoustic Emission Method

Abstract

The spline section of helicopter gearbox structure is susceptible to fatigue crack, and non-redundant characteristic leads to the need for early flaw detection strategies. Acoustic Emission (AE) method relies on propagating elastic waves due to release of energy from active flaws. The initiation of damage is identified using the features of AE waveforms such as energy, amplitude and frequency centroid. The characteristics of the AE features are influenced by sensor type, sensor location and gearbox operational conditions. In this study, the AE data was collected from a helicopter gearbox with a notched spline section and realistic operational conditions using two different AE sensors located at two different positions. The data collection was conducted over one year under various operational conditions. The AE features were extracted from long duration waveforms (100 milliseconds) at every predefined time step (every 5 seconds).

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Document Details

Document Type
Technical Report
Publication Date
Oct 02, 2014
Accession Number
AD1002343

Entities

People

  • Alan Timmons
  • Didem Ozevin
  • Justin Cox
  • Seth S. Kessler
  • William Hardman

Organizations

  • University of Illinois at Chicago

Tags

Communities of Interest

  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Emissions
  • Amplitude
  • Data Acquisition
  • Detection
  • Detectors
  • Elastic Waves
  • Emission
  • Frequency
  • Frequency Domain
  • Materials
  • Measurement
  • Pattern Recognition
  • Signal Processing
  • Teeth
  • Time Domain
  • Waveforms
  • Waves

Readers

  • Acoustical Oceanography.
  • Materials Science (Mechanical Engineering).
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).