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Anomaly Detection Techniques with Real Test Data from a Spinning Turbine Engine-Like RotorOnline detection techniques to monitor the health of rotating engine components are becoming increasingly attractive to aircraft engine manufacturers in order to increase safety of operation and lower maintenance costs. Health monitoring remains a challenge to easily implement, especially in the presence of scattered loading conditions, crack size, component geometry, and materials properties. The current trend, however, is to utilize noninvasive types of health monitoring or nondestructive techniques to detect hidden flaws and mini-cracks before any catastrophic event occurs. These techniques go further to evaluate material discontinuities and other anomalies that have grown to the level of critical defects that can lead to failure. Generally, health monitoring is highly dependent on sensor systems capable of performing in various engine environmental conditions and able to transmit a signal upon a predetermined crack length, while acting in a neutral form upon the overall performance of the engine system.
Document ID
Document Type
Other - NASA Tech Brief
Abdul-Aziz, Ali
(NASA Glenn Research Center Cleveland, OH, United States)
Woike, Mark R.
(NASA Glenn Research Center Cleveland, OH, United States)
Oza, Nikunj C.
(NASA Glenn Research Center Cleveland, OH, United States)
Matthews, Bryan L.
(NASA Glenn Research Center Cleveland, OH, United States)
Date Acquired
August 26, 2013
Publication Date
September 1, 2012
Publication Information
Publication: NASA Tech Briefs, September 2012
Subject Category
Mechanical Engineering
Report/Patent Number
Distribution Limits
Public Use Permitted.
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