Dynamic Mode Decomposition of Fast Pressure Sensitive Paint Data
AbstractFast-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
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Ali, M.Y.; Pandey, A.; Gregory, J.W. Dynamic Mode Decomposition of Fast Pressure Sensitive Paint Data. Sensors 2016, 16, 862.
Ali MY, Pandey A, Gregory JW. Dynamic Mode Decomposition of Fast Pressure Sensitive Paint Data. Sensors. 2016; 16(6):862.Chicago/Turabian Style
Ali, Mohd Y.; Pandey, Anshuman; Gregory, James W. 2016. "Dynamic Mode Decomposition of Fast Pressure Sensitive Paint Data." Sensors 16, no. 6: 862.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.