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What's New in ReliaSoft 2023

Discover the latest software improvements to design better and more reliable products and processes

We are pleased to announce the availability of  ReliaSoft  2023, offering important software usability improvements and new methods designed to make your reliability analyses more effective, improve your productivity with streamlined user experience.

Customers on active software maintenance can gain access to ReliaSoft  2023 and full release documentation using the Support Portal. 

Watch the recorded webinar ondemand_video

Release highlights

Fault Tree Analysis

 

Building on the Binary Decision Diagram introduced in 2022, BlockSim 2023 now allows you to take your Fault Tree Analysis even further by utilizing the Binary Decision Diagram Approximation Method. This new analytical calculation method allows for even larger Fault Tree Analyses, with the power to evaluate FTAs that contain hundreds of thousands of events and gates

FMEA-MSR – AIAG/VDA 1st Ed and J1739 (2021)

 

In ReliaSoft 2023, we have added support for the Failure Modes and Effects Analysis – Monitoring and System Response (FMEA-MSR) analysis to both the AIAG/VDA 1st Ed and SAE J1739 (2021) FMEA profiles available in ReliaSoft XFMEA/RCM++ software. This new update will allow customers to follow the entirety of both FMEA handbooks cover to cover. Design teams following this methodology can now fully document and take credit for their monitored control systems in their design.

BlockSim API

 

Beginning in Version 2023, ReliaSoft users who utilize the Prenscia Access License will have access to the BlockSim simulation API methods. These calls will allow users to trigger simulations of Reliability Block Diagrams and obtain results from those simulations from outside of the BlockSim user interface. Combining this with the other ReliaSoft APIs will enable users to utilize the full power of BlockSim’s availability and maintainability toolset, with the flexibility of modifying and updating existing reliability policies and assumptions from a programmatic interface.

Ready to take your reliability program further?

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