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Proceedings of a Workshop on Materials State Awareness (2008) / Chapter Skim
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Session V: What Is the Future of Materials State Awareness?
Pages 37-44

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From page 37...
... Techniques for individual, multisensor, and/or database-related data fusion are obtained from a wide range of areas including image and signal processing, control theory, numerical methods, artificial intelligence, fuzzy systems, neural networks, evolutionary computation, pattern recognition, statistical estimation, and other areas. The selection of techniques depends on the type, availability, and dynamic nature of data available for the system or application.
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From page 38...
... For example, ultrasound and radiographic images of an aircraft panel may be fused at the pixel level based on mapping or registering the corresponding pixel locations from the two image sources. Approaches for performing raw data fusion commonly involve standard detection, estimation, and registration methods.
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From page 39...
... An attempt is made to identify a materials state awareness philosophy along with some of the scientific knowledge components and technological capabilities that are needed to develop systematic design methods and how they can be used by these methods to achieve specified outcomes. This naturally leads to the question of how these desired outcomes can be specified in a quantitative way to achieve materials state awareness.
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From page 40...
... But a method for formally quantifying and achieving what is meant by adequate and sufficient when trying to achieve complex design goals for a wide variety of materials state awareness applications might be less obvious, especially when the goals are not limited to a single traditional measure of performance. When trying to achieve several figures-of-merit such as false call rate, cost per inspection, and so forth for a design, in addition to the commonly used one-time interrogation probability of detection, a systematic, mathematically based design optimization method is likely to be the only feasible way to achieve consistent design results that are not prejudiced by a human designer's preconceived notions.
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From page 41...
... SYSTEM STATE AWARENESS: AN INTEGRATED PERSPECTIVE Thomas Cruse, Vanderbilt University, Emeritus Materials state awareness (MSA) goes beyond traditional NDE in its challenge to characterize the current state of material damage long before the onset of macro-damage such as cracks.
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From page 43...
... Appendixes
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Key Terms

  • data fusion
  • materials state
  • raw data
  • signal processing
  • material state

  • fusion process
  • information sources
  • multiple sensors
  • achieve materials
  • awareness requires

  • performing raw
  • information source
  • nondestructive evaluation
  • design algorithms
  • fusion methods

  • decision variables
  • positional information
  • detecting damage
  • vanderbilt university
  • associated databases

  • knowledge component
  • achieve consistent
  • develop systematic
  • missouri institute
  • modality integration

  • genetic algorithms
  • design results
  • future considerations
  • control theory
  • damage detection


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