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UID:0-211@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20220216T133000

DTEND;TZID=Asia/Jerusalem:20220216T143000

DTSTAMP:20230403T122059Z

URL:https://aerospace.technion.ac.il/events/a-data-driven-approach-to-deve
 loping-an-aeroelastic-flutter-precursor/

SUMMARY:A Data-Driven Approach to Developing an Aeroelastic Flutter Precurs
 or
DESCRIPTION:Lecturer:Boaz Meivar\n Faculty:Department of Aerospace Engineer
 ing\n Institute:Technion – Israel Institute of Technology\n Location:htt
 ps://technion.zoom.us/j/91941118270\n Zoom: \n Abstract: \n Details: \n Th
 is talk will present a novel algorithm for early detection of aeroelastic 
 flutter when onset conditions are approached during flutter tests of fligh
 t vehicles. The approached stability boundary is detected by identifying s
 ubstantial regularity increase of the structural vibrations.  Two new reg
 ularity features are presented and examined along with existing regularity
  features used in previous work. The flutter early warning is accomplished
  using measured signals only\, in response to clear-air turbulence\, and w
 ith essentially no prior knowledge needed about the aircraft or the flutte
 r mechanism involved. The algorithm consists of three stages: (1) extracti
 on of regularity features\, (2) calibration by addition of white noise to 
 nominal measurements\, and (3) thresholding. Four types of datasets were u
 sed: (a) synthetic data\, (b) simulated data generated using aeroelastic r
 esponse simulations to stochastic gusts\, (c) measured data from a flutter
  wind tunnel experiment\, and (d) data recorded in a previously performed 
 flight test with several non-distructive flutter events. Feature selection
  and evaluation was performed on synthetic data and validated on measured 
 signals. Threshold values were obtained from wind tunnel data and were sho
 wn to be applicable for flight test data. The algorithm was shown to be ab
 le to flag an impending flutter event before critical onset occurs for the
  A3TB UAV flight test sensor measurements.\nZoom Meeting
CATEGORIES:Seminars
LOCATION:https://technion.zoom.us/j/91941118270

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