EVMDD-Based Analysis and Diagnosis Methods of Multi-State Systems with Multi-State Components

Abstract

A multi-state system with multi-state components is a model of systems, where performance, capacity, or reliability levels of the systems are represented as states. It usually has more than two states, and thus can be considered as a multi-valued function, called a structure function. Since many structure functions are monotone increasing, their multi-state systems can be represented compactly by edge-valued multi- valued decision diagrams (EVMDDs). This paper presents an analysis method of multi-state systems with multi-state components using EVMDDs. Experimental results show that, by using EVMDDs, structure functions can be represented more compactly than existing methods using ordinary MDDs. Further, EVMDDs yield comparable computation time for system analysis. This paper also proposes a new diagnosis method using EVMDDs, and shows that the proposed method can infer the most probable causes for system failures more efficiently than conventional methods based on Bayesian networks.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
ADA618857

Entities

People

  • Jon T. Butler
  • Shinobu Nagayama
  • Tsutomu Sasao

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Computations
  • Computers
  • Education
  • Fault Tolerance
  • Information Operations
  • Markov Models
  • Models
  • Monotone Functions
  • Nuclear Power Plants
  • Power Distribution
  • Probability
  • Reliability
  • Scientific Research
  • Standards
  • Terminals

Fields of Study

  • Computer science

Readers

  • Computer Programming and Software Development.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms