Turbine Engine Diagnostics (TED) for Army Tank Applications.

Abstract

Turbine engine diagnostics have been vastly improved with the use of Artificial Intelligence (AI) techniques such as expert systems artificial neural networks and fuzzy logic. A typical system that is using artificial intelligence to improve its diagnostic capabilities is the Army's Turbine Engine Diagnostic (TED) program for the Ml Abram's AGT-1500 turbine engine. TED is a diagnostic expert system that assists the Ml Abrams mechanic. The system provides assistance during engine inspection and troubleshooting. It provides detailed information about the most frequently used maintenance procedures. It has an automated parts ordering system. Finally it has a diagnostics tool capable of monitoring the engine's electronic signals.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1996
Accession Number
ADA320337

Entities

People

  • Mark J. Pincoski

Organizations

  • Pennsylvania State University

Tags

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Computer Science
  • Expert Systems
  • Fuzzy Logic
  • Inspection
  • Logic
  • Maintenance
  • Monitoring
  • Neural Networks
  • Troubleshooting
  • Turbines

Readers

  • Aerospace Engineering
  • Fault Tolerant Diagnosis of Black and White Balloon Isolation Tests Using ¥.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • Microelectronics
  • Microelectronics - Microelectromechanical Systems