TECHNOLOGY AND TANK MAINTENANCE - AN AI-BASED DIAGNOSTIC SYSTEM FOR THE ABRAMS TANK

The U.S. Army holds title to one of the most envied weapon systems dev eloped-the Abrams main battle tank (MBT). Militarily, this weapon repr esents the epitome of lethality and survivability on today's modern ba ttlefield To combat difficulties associated with maintaining this soph isticated weapon, the U.S. Army Research Laboratory (ARL) and the U.S. Army Ordnance Center and School (OC&S) combined technologies from art ificial intelligence with Army tank maintenance doctrine to develop an expert diagnostic system to assist Abrams' mechanics. The system, kno wn as turbine engine diagnostics (TED), targets the mechanic's ability to effectively and efficiently diagnose and repair the Abram's engine and transmission The OC&S estimates that TED will save over $8 millio n annually by enhancing the Abrams mechanic's troubleshooting capabili ties. Limited fielding of TED began in July 1994 to 60 National Guard units in 30 stares. Active units of the U.S. Army will receive TED in fiscal year 1996. This paper examines the relevant background, develop ment issues, system overview test results, and future efforts surround ing the TED project.