AEROSPACE RELIABILITY ANALYTICS

Engineering Dashboard

Model systems. Simulate mission reliability. Identify critical components.

● Connecting to engine

DEMONSTRATION ONLY — synthetic failure rates, independent exponential failures, no repairs or common-cause failures. Not approved for operational or safety-critical decisions.

Mission reliability—Probability of mission success

Failure probability—During selected mission

Mission duration—Operating hours

Subsystems—Modeled components

Model configuration

Example system

Model name

Mission hours

Blocks represent the simplified reliability structure; hydraulic pumps are modeled as parallel redundancy.

Reliability vs operating hours

Calculated by the Python API.

Component criticality

Component	Gain if perfect

Gain is absolute system reliability improvement in percentage points.

Component failure-rate inputs

Failures / 1,000,000 hours (NOT FIT)

Component	Domain	Source	Rate / million hours

Values are editable. Press “Run simulation” to recalculate. Overrides are identified in the API audit response.

Model audit & exports

Loading example…

Source: SYNTH-DEMO-001, revision 1.0. The agent and licensed handbook adapters are not connected in this version.

AERIS-AI · Local web application · Python/FastAPI reliability engine · v0.2