Diagnosis of Helicopter Gearboxes Using Structure-Based Networks.

Abstract

A connectionist network is introduced for fault diagnosis of helicopter gearboxes that incorporates knowledge of the gearbox structure and characteristics of the vibration features as its fuzzy weights. Diagnosis is performed by propagating the abnormal features of vibration measurements through this Structure-Based Connectionist Network (SBCN), the outputs of which represent the fault possibility values for individual components of the gearbox. The performance of this network is evaluated by applying it to experimental vibration data from an OH-58A helicopter gearbox. The diagnostic results indicate that the network performance is comparable to those obtained from supervised pattern classification.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1995
Accession Number
ADA298677

Entities

People

  • David G. Lewicki
  • Kourosh Danai
  • Vinay B. Jammu

Organizations

  • Glenn Research Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Accelerometers
  • Applied Mechanics
  • Attenuation
  • Ball Bearings
  • Bearings
  • Classification
  • Detection
  • Detectors
  • Engineering
  • Families (Human)
  • Frequency
  • Helicopters
  • Measurement
  • Mechanical Engineering
  • Military Research
  • Vehicles
  • Vibration

Fields of Study

  • Computer science

Readers

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