Verifying common-cause reduction rules for fault tolerant systems via simulation using a stress-strength failure...

Area of Science:

• Industrial process control
• Reliability engineering
• System safety

Background:

• Redundant programmable electronic systems are crucial for industrial safety and process control.
• Common-cause failures can undermine the effectiveness of redundancy.
• Existing qualitative design rules for mitigating common-cause failures lack quantitative validation.

Purpose of the Study:

• To quantitatively verify the effectiveness of qualitative design rules in reducing common-cause failures.
• To assess the impact of design changes on common-cause failure rates.
• To provide data for improving system designs and lowering failure rates.

Main Methods:

• Development of a stress-strength simulation model.
• Simulation of programmable electronic system failures under various design scenarios.
• Computation of common-cause failure rates for each simulated design case.

Main Results:

• Simulation results confirmed that qualitative design rules effectively reduce common-cause failure rates.
• Quantitative assessments demonstrated the magnitude of improvements achievable with these design rules.
• The study provided evidence for the benefits of applying specific design principles.

Conclusions:

• Qualitative design rules for redundant systems are effective in mitigating common-cause failures.
• Quantitative analysis validates the benefits of these rules for enhancing system reliability.
• The findings support the implementation of these design rules to improve industrial process safety and availability.