The Reduction of Modal Sensor Channels through a Pareto Chart Methodology
Joint Authors
Lemler, Kaci J.
Semke, William H.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Presented herein is a new experimental sensor placement procedure developed to assist in placing sensors in key locations in an efficient method to reduce the number of channels for a full modal analysis.
It is a fast, noncontact method that uses a laser vibrometer to gather a candidate set of sensor locations.
These locations are then evaluated using a Pareto chart to obtain a reduced set of sensor locations that still captures the motion of the structure.
The Pareto chart is employed to identify the points on a structure that have the largest reaction to an input excitation and thus reduce the number of channels while capturing the most significant data.
This method enhances the correct and efficient placement of sensors which is crucial in modal testing.
Previously this required the development and/or use of a complicated model or set of equations.
This new technique is applied in a case study on a small unmanned aerial system.
The test procedure is presented and the results are discussed.
American Psychological Association (APA)
Lemler, Kaci J.& Semke, William H.. 2015. The Reduction of Modal Sensor Channels through a Pareto Chart Methodology. Journal of Sensors،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1070212
Modern Language Association (MLA)
Lemler, Kaci J.& Semke, William H.. The Reduction of Modal Sensor Channels through a Pareto Chart Methodology. Journal of Sensors No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1070212
American Medical Association (AMA)
Lemler, Kaci J.& Semke, William H.. The Reduction of Modal Sensor Channels through a Pareto Chart Methodology. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1070212
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070212