Markov Analysis


Markov analysis module models systems which exhibit strong dependencies between component failures.

Key Features

  • Graphically constructed transition diagram
  • Division of analysis into separate phases State attribute editing via easy-to-use dialogs
  • Data verification for consistency checks
  • Time-dependent transition rates modelled
  • Global parameter facility for repetitive data
  • Calculation of a wide range of probabilities and frequencies
  • Graphs and plots showing time-dependent results


  • Markov analysis is included along with Reliability Block Diagram (RBD) and Fault Tree+ modules.
  • The Markov module provides a visual interface to construct the state transition diagram and then uses numerical integration to solve the problem.
  • The state transition diagram represents the discrete states of the system and the possible transitions between those states.