Condition Based Machinery Maintenance (Helicopter Fault Detection). Phase I.

Abstract

A problem of current interest to the Navy is the automatic detection and classification of faults in mechanical systems such as the transmissions, gearboxes, and bearings of helicopters. The problem is important for both economic and safety reasons. Using automated fault detection and classification, machinery repair can be undertaken as needed and can prevent catastrophic failure. This condition-based maintenance approach is more efficient and cost-effective than the use of predetermined maintenance schedules. Additionally, automated fault detection and classification systems can alert machinery operators, such as helicopter pilots, of the onset of a mechanical problem, thus allowing the pilot to take precautions, such as landing the aircraft, before a potentially catastrophic failure occurs.

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Document Details

Document Type
Technical Report
Publication Date
Jan 29, 1993
Accession Number
ADA259774

Entities

People

  • T. G. Pollard
  • T. W. Brotherton

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Computers
  • Data Processing
  • Data Sets
  • Detection
  • Detectors
  • False Alarms
  • Feature Extraction
  • Fire Pumps
  • Frequency
  • Frequency Domain
  • High Resolution
  • Neural Networks
  • Signal Processing
  • Two Dimensional
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
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