Accession Number : ADA320337

Title :   Turbine Engine Diagnostics (TED) for Army Tank Applications.

Descriptive Note : Master's thesis,

Corporate Author : PENNSYLVANIA STATE UNIV UNIVERSITY PARK DEPT OF MECHANICAL ENGINEERING

Personal Author(s) : Pincoski, Mark J.

PDF Url : ADA320337

Report Date : DEC 1996

Pagination or Media Count : 61

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.

Descriptors :   *ENGINES, *ARTIFICIAL INTELLIGENCE, *TURBINES, *COMPUTER AIDED DIAGNOSIS, MAINTENANCE, ELECTRONICS, ARMY RESEARCH, SIGNALS, INSPECTION, EXPERT SYSTEMS, TANKS(COMBAT VEHICLES), TROUBLESHOOTING.

Subject Categories : Computer Programming and Software
      Cybernetics
      Jet and Gas Turbine Engines
      Combat Vehicles

Distribution Statement : APPROVED FOR PUBLIC RELEASE