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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.
Turbine engine diagnostics (TED) is a diagnostic expert system that aids the M1 Abrams' mechanic in finding and fixing problems in the AGT-1500 turbine engine. TED was designed to provide the apprentice mechanic the ability to diagnose and repair the turbine engine like an expert mechanic. This report discusses the reasoning method used in TED, called the procedural reasoning system (PRS), as well as various design considerations throughout the life of the project. The expert system was designed and built by the U.S. Army Research Laboratory (ARL) and the U.S. Army Ordnance Center and School (USAOC & S). TED has been fielded to both the Active Army and the National Guard.
TED (turbine engine diagnostics) is a diagnostic expert system to help the MI Abrams' mechanic find and fix problems in the AGT15OO turbine engine. ThD was designed and built by the U.S. Army Research Laboratory and the U.S. Army Ordnance Center. Limited fielding was begun in July 1994 to selected National Guard units, with eventual fielding to 28 National Guard units. Active units of the U.S. Army will receive ThD in January 1996. Several foreign countries are expected to use TED for their M1 tank maintenance. TED was designed to provide the apprentice mechanic the ability to diagnose and repair the turbine engine like an expert mechanic. The U.S. Army Ordnance Center has estimated that TED will save more than $8 million annually by enhancing the Ml mechanic's diagnostic capabilities. (MM).
The official magazine of United States Army logistics.
The Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia. The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more.