Nayesian Aspects of Material Failure, Engineering Reliability, and Software Integrity.

Abstract

Research on using Bayesian statistical methods and on probabilistic modeling of failure processes is described. Emphasis is on developing mathematical models for describing the growth of surface and penny shaped cracks in structural materials and on assessing the integrity of software via a new model for software. Initial work on a paradigm for information fusion is discussed and issues such as sensor reliability, sensor sabotage, adversarial sensors and sensor parleying are introduced.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1998
Accession Number
ADA366897

Entities

People

  • Nozer Singpurwalla

Organizations

  • George Washington University

Tags

Communities of Interest

  • Air Platforms
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Engineering
  • Markov Chains
  • Materials
  • Mathematical Models
  • Models
  • Monte Carlo Method
  • Operations Research
  • Probabilistic Models
  • Probability
  • Reliability
  • Sabotage
  • Security
  • Shot Noise
  • Stochastic Processes
  • Students

Fields of Study

  • Computer science
  • Engineering

Readers

  • Cybersecurity.
  • Sensor Fusion and Tracking Systems.
  • Structural Health Monitoring of Composite Structures.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference