Effectiveness of Empirical Mode Decomposition Based Features Compared to Kurtosis Based Features for Diagnosis of Pinion Crack Detection in a Helicopter

Abstract

Features based on empirical mode decomposition (EMD) of measured vibration data were developed for a Bell OH-58 helicopter main rotor gearbox. A tooth on the input pinion of the gearbox was notched and run for an extended period at several over-torque conditions to induce a tooth fracture. Vibration data were recorded at regular intervals until a tooth fractured. The EMD features were found to be more sensitive to the gearbox condition than the kurtosis-based feature (FM4), and they diagnosed the onset of cracked tooth much earlier.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2010
Accession Number
ADA562513

Entities

People

  • Canh Ly
  • Harry Decker
  • Hiralal Khatri
  • Kenneth Ranney
  • Kwok Tom

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computer Science
  • Data Analysis
  • Data Sets
  • Decomposition
  • Detection
  • Electrical Engineering
  • Engineering
  • Frequency
  • Helicopters
  • Information Science
  • Mechanical Engineering
  • Military Research
  • Radar
  • Signal Processing
  • Vibration

Readers

  • Statistical inference.
  • Structural Health Monitoring of Composite Structures.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).