Prognostic Health Management of DoD Assets
Abstract
This proposed research will synergistically developed numerical models, experiments, algorithms, and other tools applicable to prognostic health management. The topics covered included (1) Characterize acoustic emission signals from different failure modes in composite materials, and identification of the features of critical damage, (2) Experimental characterization of the influence of attenuation on acoustic emission signals in carbon epoxy composite laminates (3) Characterization of acoustic emission signals during fatigue crack growth in aluminum panels, (4) Characterization of fretting related acoustic emission signals, in which acoustic emission characteristics were correlated with the features of the surfaces participating in the frictional process, (5) Identification for the first time the horizontal shear component of acoustic emission signals and designing sensors capable of detecting these components, along with securing a US patent on this sensor, (6) Development of a Multiagent based structural health monitoring system, (7) Development of a machine learning system for classifying acoustic emission signals, and (8) Supporting summer internships for three minority high school students during the summer of 2014 and another three minority high school students which is planned during the summer of 2015.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2015
- Accession Number
- ADA624505
Entities
People
- Albert Esterline
- Mannur J. Sundaresan
Organizations
- North Carolina Agricultural and Technical State University