Reliotech RBD - Reliability Block Diagram Analysis Software

RBD-Software is a computer software to model complex reliability block diagrams (RBDs) supplying a variety of reliability distributions models. It obtains reliability and availability of the system with exact solutions.

RBD-Software Editor

RBD-Software deploys an easy way to build an organized reliability block diagram in serial, parallel, k-out of n, standby and sub-diagram configurations.

RBD-Software Editor

RBD-Software offers an easy-to-use diagram editor with specific block types enabling to build an organized reliability block diagram with a professional look. It allows to develop series, parallel, k-out of n, standby arrangements and the capability handle large RBDs by splitting it into several sub-diagrams.

RBD Analysis

RBD-Software has a powerful engine to evaluate RBDs through Binary Decision Diagram Method (BDD) providing an analytical and exact solution as well as many importance measures. Besides you can review the Minimal-Path-Sets, Minimal-Cut-Sets and the algebraic solution enabling the user to understand simple RBDs.

Reliability Block Diagram Analysis

The Reliability Block Diagram is a graphical methodology to describe a system in an intuitive way to represent the schematics of a system decomposing it into various sub-systems, components or functions. The RBD is build such that the blocks are interconnected accordingly to their relationship and the effect of their failure to the whole system. They are mainly used in reliability engineering and risk analysis for engineering applications to analyze failure events over a system, reduce risk and improve reliability, for example in aerospace and chemical industry; electronics, computation and network design, power plants, etc. An RBD is a Boolean representation for the reliability of a system and equivalent for a Fault Tree Analysis. In an RBD once the reliability of each component present in system has been related to a corresponding probability distribution model, it is possible to calculate the reliability and other analysis of the whole system at a given certain time. This characteristic helps to identify critical components and model the effect of item failures in different configurations, allowing to decide which arrangement of elements has the best reliability and availability for operational functions.

Benefits of using RBDs

  • Provides a methodology to represent a system configuration in simple and visual form.
  • Describes explicitly any successful path for the system to work in an easy way to comprehend.
  • Can help to design a system with a higher fault tolerance, early warning and recognize critical components.
  • Estimate the system reliability and establish the importance of each component in it to be successful.

RBD-Software Editor

With RBD-Software you can create a complete and organized reliability block diagram and its corresponding sub-diagrams with the RBD diagram editor in a drag & drop fashion for item manipulation. Review all diagram blocks and describe their block characteristics and failure distributions in its table view editor. The software supports series, parallel, k-out of n and stand-by redundancy with hot, warm or cold configurations reviewing cyclic paths to avoid incorrect arrangement. RBD-Software provides all common distributions:

  • Constant
  • Repairable
  • Unrepairable
  • Dormant
  • Weibull
  • MTBF
  • MTTF

RBD Analysis

RBD-Software is able to evaluate quickly complex Reliability Block Diagrams and give exact solutions by calculating the representative Boolean expression via the Binary Decision Diagram Method (BDD). RBD-Software provides methods for calculating:

  • Minimal-Path-Sets
  • Minimal-Cut-Sets
  • Algebraic Solution
  • Reliability
  • Unreliability
  • Availability
  • Unavailability
  • Conditional Reliability
  • Unconditional Reliability
  • Unconditional Failure Intensity
  • Conditional Failure Intensity
  • Expected Number of Failures
  • Total Down Time
  • Average Unavailability
  • Average Unconditional Failure Intensity
  • Average Conditional Failure Intensity
  • Probability of Failure on Demand (PFD)
  • Average Probability of Failure on Demand (PFD Avg)
  • Probability of Failure per Hour (PFH)
  • Average Probability of Failure per Hour (PFH Avg)
  • Marginal Importance Factor (Birnbaum Importance)
  • Critical Importance Factor (Fussell-Vesely Importance)
  • Risk Achievement Worth
  • Risk Reduction Worth
  • Diagnostic Importance Factor
Quantitative Fault Tree Analysis