ToolKit RBD Module

The Reliability Block Diagram (RBD) Module is a powerful system reliability analysis tool which allows a reliability block diagram analysis to be performed in an integrated environment. This module is capable of analyzing large and complex reliability block diagrams producing the full minimal cut set representation for identified systems and sub systems. Engineered products, computer networks, processes, and any other entity which can be broken down into blocks can be modeled with RBD.

RBD Diagram

The RBD Module employs recognized approximation methods to calculate the unavailabilities and failure frequencies of the systems and sub systems represented by the diagram. These approximation methods are necessary due to the computational time involved in calculating exact probabilistic parameters when more than just a few minimal cut sets are produced. The fast upper bound approximation methods provided by the RBD Module are widely used and, as the name suggests, provide an upper bound (pessimistic) value to calculate system unavail-ability and frequency values. For reliable systems these approximations are very close to the exact values which may take significantly longer to compute.

Included is a capacity model which provides a simple way to use RBD models to determine the expected processing capacity of a system, assuming a system consisting of processing units that each may fail. The blocks in the RBD diagram are considered to be processing units in the system, that each are designed to handle part or whole of the processing volume leaving the blocks or nodes preceding them in the block diagram logic. In case a block is available, it will process all of this volume. If it is unavailable, its processing capacity is 0. In case of partial availability the processing capacity is between 0 and its maximum capacity.

Module features include:

Multiple Systems within the same Project
Transfer to and from other ToolKit modules
Easily transfer diagrams into applications such as Microsoft® Word®
Importance analysis using Fussell-Vesely, Birnbaum, and Barlow-Proschan
Voting and full minimal cut set analysis
Efficient minimal cut set generation algorithms to analyze large and complex block diagrams
Circular logic checks during block diagram construction and analysis
Capacity and Flow modeling
Hierarchy display of System and Results
Features common to all modules

0630-1700 M-F PST

1.866.761.ITEM

1.714.935.2900

sales@itemsoft.com