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Meeting	ACGS Committee Meeting 93 - Colorado Springs - March 2004
Agenda Location	4 GENERAL COMMITTEE TECHNICAL SESSION 4.1 GOVERNMENT AGENCIES SUMMARY REPORTS 4.1.4 NASA 4.1.4.1 NASA Glenn
Title	NASA Glenn
Presenter	Sanjay Garg
Available Downloads*	presentation
	Downloads are available to members who are logged in and either Active* or attended this meeting.
Abstract	The Controls and Dynamics Technology Branch at NASA (National Aeronautics and Space Administration) Glenn Research Center (GRC) in Cleveland, Ohio, is developing advanced controls and health management technologies that will help meet the challenges of an Intelligent Engine. Two of the main areas discussed at the spring SAE AGCSC meeting are described below. Data Fusion for Enhanced Engine Prognostics and Health Management A wealth of aircraft turbine engine data is available from a variety of sources including on-board sensor measurements, operating histories, and component models. Furthermore, additional data will become available, as advanced prognostic sensors are incorporated into next generation gas turbine engine systems. The challenge is how to maximize the meaningful information extracted from these disparate data sources to obtain enhanced diagnostic and prognostic information regarding the health and condition of the engine. To address this challenge, NASA and Pratt & Whitney (P&W) are collaborating to develop Data Fusion technology. Data fusion is the integration of data from multiple sources to achieve improved accuracy and more specific inferences than can be obtained from the use of a single sensor alone. Data fusion will enhance aircraft gas turbine engine Prognostic and Health Management (PHM) system capabilities by reducing false alarms and missed detections, improving engine diagnostics for the accurate isolation of faults, and improving engine prognostics for the accurate assessment of component life consumption and prediction of impending anomalies. This effort is closely coordinated with the C-17 T-1 Aircraft Propulsion Health Management Flight Test Program being conducted by NASA DFRC and flight data collected from the C-17 T-1 is used to demonstrate the technology. Autonomous Robotic Inspection and Repair of Engine Components Modern jet engines undergo regular maintenance inspections for the purpose of detecting evidence of internal distress such as cracking or erosion. The inspection methods range from borescopic on-wing engine internal visual inspection to those requiring full tear down. If much of the inspection and repair that currently requires teardown could be performed on-wing, it would be a boon to the airline industry both in terms of early detection of potential problems and reduced maintenance costs. NASA GRC has initiated preliminary investigation into the feasibility of creating miniature mobile sensor platforms that can roam the surfaces inside of an engine while it is shut down and be able to perform such inspection and repair functions. It is envisioned that a collaborative swarm of these mobile agents will rove through an engine in a highly coordinated manner, thoroughly searching engine component surfaces to assess damage. Once damage is detected, the location and damage type information will be disseminated, possibly alerting the appropriate group of agents to converge and perform the necessary repairs.