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Principal Components Analysis of Triaxial Vibration Data From Helicopter TransmissionsResearch on the nature of the vibration data collected from helicopter transmissions during flight experiments has led to several crucial observations believed to be responsible for the high rates of false alarms and missed detections in aircraft vibration monitoring systems. This work focuses on one such finding, namely, the need to consider additional sources of information about system vibrations. In this light, helicopter transmission vibration data, collected using triaxial accelerometers, were explored in three different directions, analyzed for content, and then combined using Principal Components Analysis (PCA) to analyze changes in directionality. In this paper, the PCA transformation is applied to 176 test conditions/data sets collected from an OH58C helicopter to derive the overall experiment-wide covariance matrix and its principal eigenvectors. The experiment-wide eigenvectors. are then projected onto the individual test conditions to evaluate changes and similarities in their directionality based on the various experimental factors. The paper will present the foundations of the proposed approach, addressing the question of whether experiment-wide eigenvectors accurately model the vibration modes in individual test conditions. The results will further determine the value of using directionality and triaxial accelerometers for vibration monitoring and anomaly detection.
Document ID
20020060461
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Tumer, Irem Y.
(NASA Ames Research Center Moffett Field, CA United States)
Huff, Edward M.
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
September 7, 2013
Publication Date
August 26, 2001
Subject Category
Aircraft Design, Testing And Performance
Meeting Information
Meeting: 56th Meeting of the Society for Machinery Failure Prevention Technology
Location: Virginia Beach, VA
Country: United States
Start Date: May 1, 2000
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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