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Optimization of Fatigue Test Signal Compression Using The Wavelet Transform

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0151
Agency Tracking Number: N18B-029-0002
Amount: $1,027,378.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N18B-T029
Solicitation Number: 18.B
Solicitation Year: 2018
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-12-19
Award End Date (Contract End Date): 2023-01-03
Small Business Information
13290 Evening Creek Drive South Suite 250
San Diego, CA 92128
United States
DUNS: 133709001
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Tyler Van Fossen
 (303) 945-2376
Business Contact
 Joshua Davis
Phone: (858) 480-2028
Research Institution
 Arizona State University
 Lindsey Bosak Lindsey Bosak
660 South Mill Avenue, Suite 204
Tempe, AZ 85281
United States

 (480) 965-7874
 Nonprofit College or University

ATA Engineering has developed a wavelet-based damage squeezing methodology for generating optimally compressed fatigue test signals that produce an equivalent amount of fatigue damage in a predictably reduced amount of time compared to the baseline (uncompressed) signals. Fatigue-critical signal characteristics (e.g., magnitude, phase, frequency, and sequencing relationships) are identified in the time-scale domain and preserved during signal compression such that the resulting signals produce characteristic responses and failure modes during test. The damage squeezing algorithm uses a constrained optimization formulation governed by physical constraints to minimize error in localized damage equivalence, thereby removing the heuristics associated with traditional signal editing approaches. The damage squeezing methodology is extensible to the compression of rotorcraft-characteristic signals, including proportional, non-proportional, variable amplitude, and/or mixed-environment (e.g., sine-on-random) loading and can be used to accelerate system-level fatigue test programs requiring multiple input (excitation) sources by accounting for dynamic amplification between each of the input and output (response) locations. The Research Institution for the proposed STTR effort, Arizona State University, will utilize state-of-the-art test facilities at the Adaptive Intelligent Materials and Systems Center to conduct experimental validation of the damage squeezing methodology.

* Information listed above is at the time of submission. *

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