Efficient Fault Diagnosis of Helicopter Gearboxes

Abstract

Application of a diagnostic system to a helicopter gearbox is presented. The diagnostic system is a nonparametric pattern classifier that uses a multi-valued influence matrix (MVIM) as its diagnostic model and benefits from a fast learning algorithm that enables it to estimate its diagnostic model from a small number of measurement-fault data. To test this diagnostic system, vibration measurements were collected from a helicopter gearbox test stand during accelerated fatigue tests and at various fault instances. The diagnostic results indicate that the MVIM system can accurately detect and diagnose various gearbox faults so long as they are included in training.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1993
Accession Number
ADA268897

Entities

People

  • D. G. Lewicki
  • H. Chin
  • K. Danai

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accelerometers
  • Aircrafts
  • Algorithms
  • Army Aviation
  • Data Science
  • Detection
  • Engineering
  • Failure Mode And Effect Analysis
  • False Alarms
  • Helicopters
  • Measurement
  • Mechanical Engineering
  • Monitoring
  • Signal Processing
  • Test Stands
  • Training
  • Vibration

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