Design For Reliability

Predict equipment and system reliability

When designing equipment or systems for high reliability and availability, an accurate understanding of the likely reliability for the chosen equipment and components is essential.

Our solutions enable you to predict equipment or system reliability using industry standards for electrical, electronic and communication parts.

We utilize prediction data to support analysis in determining equipment failure rates, used in FMECA’s (Failure, Mode, Effect and Criticality Analysis), Reliability Block Diagrams (RBD’s) and Fault Tree diagrams.

Identify high risk and severe failures

A crucial step in understanding the reliability of equipment is to complete a FMECA. FMECA extends FMEA by including a criticality analysis, which is used to chart the probability of failure modes against the severity of their consequences. The result highlights failure modes with relatively high probability and severity of consequences, allowing remedial effort to be directed where it will produce the greatest value.

Our solutions allow you to automatically trace failure effects, severity values and failure causes through the system hierarchy. Failure rate and criticality values are automatically calculated.

Model the components that contribute to system reliability

A Reliability Block Diagram (RBD) is a method of modeling how components and sub-system failures combine to cause system failure. RBD's may be analyzed to predict the availability of a system and determine the critical components.

Visualize a system failure path

We use Fault Tree analysis as a top down analysis that represents the logical relationship between sub-system and component failures and how they combine to cause system failures.

Analysis is then performed to calculate reliability and availability parameters for the system and to identify critical components.

Improve reliability through managing risk

An extension to the FMECA is the optimal selection of maintenance tasks that will reduce safety, environmental and operational risks while optimizing costs, using Reliability Centered Maintenance (RCM) decision making logic. Take into account failure mode behavior and the effects of aging, redundancy, and the impact of failure on the business goals.