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Redipro

History of REDI-PRO Project

Artificial Neural Networks

Initial exploratory work proved the concept of using Artificial Neural Networks (ANNs) and other analysis methods to diagnose faults on the AGT1500 gas turbine engine. Originally called TEDANN (Turbine Engine Diagnostics using Artificial neural Networks), this 1993-96 project yielded a laboratory prototype.

The next phase of work, which evolved into REDI-PRO because of the focus on prognostics, developed an operational prototype (1997-2001) and coordination with the US Army and contractors for potential integration of the technology into the embedded diagnostics hardware and software planned for upgrades of the M1A1 platform.

laptop configuation

In 2000-2001, PNNL coordinated with the U.S. Army and contractors on potential integration of the technology into the embedded diagnostics hardware and software planned for upgrades of the M1A1 platform. The Army subsequently decided to replace the AGT1500 gas turbine engine on the Abrams tanks with a new model, which benefited from lessons learned in the REDI-PRO project.

Engine Mount

REDI-PRO

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