fault-tree-analysis

Fault tree analysis identifies minimal cut sets and single points of failure by mapping a top-level system fault to basic events through Boolean logic gates. This qualitative process isolates the critical combinations of root causes that lead to system failure.

Fault tree analysis is a structured probabilistic method used in reliability and safety-critical engineering to determine how root causes combine to cause top-level failures. You need it to rigorously assess system risks and prioritize design mitigations.

Yes, fault tree analysis supports quantitative insights by computing top-event probabilities when basic event failure data is available. It propagates probabilities across AND/OR gates and can factor in common cause failures for accurate risk calculations.

Structure your fault tree as a JSON-like hierarchy containing top_event, gates, and basic_events. This format explicitly supports incorporating common cause failure considerations and human factors alongside standard hardware or software basic events.

Yes, fault tree analysis applies to safety-critical and reliability assessments across diverse engineering domains. By using Boolean logic to map failures, it enables actionable design improvements regardless of the specific engineering field.

Fault tree analysis requires a predefined structured JSON-like fault tree and accurate basic event failure data for quantitative results. Its Boolean logic approach may not fully capture dynamic system behaviors or complex dependencies outside the defined tree structure.