A System Failure Detection Method: Failure Projection Method.

Abstract

This thesis proposes a system failure detection method -- Failure Projection Method (FPM) which provides a geometric pictures of the problem of failure detection in the presence of model uncertainties and noise. The concept of FPM is thoroughly studied in this thesis. In particular, two groups of formulations have been developed. One gives distinct geometrical interpretation while the other is based on assuming that one has available a priori information on the system state. Within two groups three formulations which are based on slightly different criteria and have decreasing complexity of calculation are developed. The simplest require only a singular value decomposition. Also two numerical examples are given which show the relationship among these formulations and thus provide a deep understanding of their nature. An algebric approach is developed for the generation of a complete set of minimal length parity checks. The FPM is extended to including measurement and process noise. Again a formulation is developed which only involves a singular value decomposition. The FPM is demonstrated on a model of three machine power system to indicate how it can be used as a design tool in assessing system redundancy and in determining parity checks.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADA115979

Entities

People

  • Xi-cheng Lou

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Programming
  • Damage Detection
  • Detection
  • Detectors
  • Differential Equations
  • Eigenvalues
  • Engineering
  • Equations
  • Failure Mode And Effect Analysis
  • False Alarms
  • Frequency Domain
  • Linear Algebra
  • Measurement
  • Military Research
  • Nonlinear Programming
  • Redundancy
  • Vector Spaces

Fields of Study

  • Engineering

Readers

  • Statistical inference.
  • Systems Analysis and Design
  • Wave Propagation and Nonlinear Chaotic Dynamics.