Analytical Redundancy and the Design of Robust Failure Detection Systems,

Abstract

The Failure Detection and Identification (FDI) process is viewed as consisting of two stages: residual generation and decision making. It is argued that a robust FDI system can be achieved by designing a robust residual generation process. Analytical redundancy, the basis for residual generation, is characterized in terms of a parity space. Using the concept of parity relations, residuals can be generated in a number of ways and the design of a robust residual generation process can be formulated as a minimax optimization problem. An example is included to illustrate this design methodology.

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Document Details

Document Type
Technical Report
Publication Date
Oct 14, 1982
Accession Number
ADA121771

Entities

People

  • Alan S. Willsky
  • Edward Y. Chow

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Control Systems
  • Covariance
  • Damage Detection
  • Data Science
  • Detection
  • Detectors
  • Failure Mode And Effect Analysis
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Science
  • Kalman Filters
  • Linear Systems
  • Mathematical Filters
  • Navigation
  • Probability

Readers

  • Game Theory.
  • Robotics and Automation.
  • Theoretical Analysis.

Technology Areas

  • Space