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Sensors 2016, 16(6), 862; doi:10.3390/s16060862

Dynamic Mode Decomposition of Fast Pressure Sensitive Paint Data

Aerospace Research Center, The Ohio State University, 2300 West Case Road, Columbus, OH 43235, USA
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Academic Editor: Vittorio M.N. Passaro
Received: 12 May 2016 / Revised: 6 June 2016 / Accepted: 8 June 2016 / Published: 11 June 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [884 KB, uploaded 11 June 2016]   |  

Abstract

Fast-response pressure sensitive paint (PSP) is used in this work to measure and analyze the acoustic pressure field in a rectangular cavity. The high spatial resolution and fast frequency response of PSP effectively captures the spatial and temporal detail of surface pressure resulting in the acoustic pressure field. In this work, a high-speed camera is used to generate a continuous time record of the acoustic pressure fluctuations with PSP. Since the level of the acoustic pressure is near the resolution limit of the sensor system, advanced analysis techniques are used to extract the spatial modes of the pressure field. Both dynamic mode decomposition (DMD) and proper orthogonal decomposition (POD) are compared with phase averaging for data analysis. While all three techniques effectively extract the pressure field and reduce the impact of sensor noise, DMD and POD are more robust techniques that can be applied to aperiodic or multi-frequency signals. Furthermore, DMD is better than POD at suppressing noise in particular regions of the spectrum and at effectively separating spectral energy when multiple acoustic excitation frequencies are present. View Full-Text
Keywords: pressure-sensitive paint (PSP); polymer/ceramic (PC-PSP); acoustic resonance cavity; dynamic mode decomposition (DMD); proper orthogonal decomposition (POD) pressure-sensitive paint (PSP); polymer/ceramic (PC-PSP); acoustic resonance cavity; dynamic mode decomposition (DMD); proper orthogonal decomposition (POD)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ali, M.Y.; Pandey, A.; Gregory, J.W. Dynamic Mode Decomposition of Fast Pressure Sensitive Paint Data. Sensors 2016, 16, 862.

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