Turbine engine diagnostics (TED) - An expert diagnostic system for the M1 Abrams turbine engine

Citation
R. Helfman et al., Turbine engine diagnostics (TED) - An expert diagnostic system for the M1 Abrams turbine engine, AI MAG, 20(1), 1999, pp. 69-76
Citations number
8
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
AI MAGAZINE
ISSN journal
07384602 → ACNP
Volume
20
Issue
1
Year of publication
1999
Pages
69 - 76
Database
ISI
SICI code
0738-4602(199921)20:1<69:TED(-A>2.0.ZU;2-#
Abstract
TURBINE ENGINE DIAGNOSTICS (TED) is a diagnostic expert system to aid the M 1 Abrams tank mechanic find-and-fix problems in the AGT-1500 turbine engine . TED was designed to provide the apprentice mechanic with the ability to d iagnose and repair the turbine engine like an expert mechanic. The expert s ystem was designed and built by the U.S. Army Research Laboratory and the U .S. Army Ordnance Center and School. This article discusses the relevant ba ckground, development issues, reasoning method, system overview, test resul ts, return on investment, and fielding history of the project. Limited fiel ding began in 1994 to select U.S. Army National Guard units and complete fi elding to all M1 Abrams tank maintenance units started in 1997 and will fin ish by the end of 1998. The Army estimates that TED will save roughly $10 m illion a year through improved diagnostic accuracy and reduced waste. The d evelopment and fielding of the TED program represents the Army's first succ essful fielded maintenance system in the area of AI. Several reasons can be given for the success of the TED program: an appropriate domain with prope r scope, a close relationship with the expert, extensive user involvement, and others that are discussed in this article.