Self-Repair Capability
L3-SLF-FDI-BAYES ESSENTIAL COMMAND CONTROL Level 3 · hardware

Bayesian Fault Inference

Bayesian Network for Probabilistic Fault Inference

The Bayesian Network for Probabilistic Fault Inference is a 1,000-node diagnostic software system stored on radiation-hardened NOR flash that calculates real-time posterior fault probabilities from observed symptoms. Consuming 1 W of power with a 500,000-hour mean time between failures, it isolates multiple simultaneous fault scenarios across a 100-year operational lifetime in the Lunar Ark system. Operating in the unshielded lunar radiation environment—where the lack of a magnetosphere induces cumulative digital degradation—requires continuous probabilistic reasoning under uncertainty, forcing the network to maintain an inference history and execute autonomous model updates over century-scale deployments without terrestrial intervention.

Bayesian network inferring fault probabilities from observed symptoms — provides probabilistic fault diagnoses with uncertainty.

Purpose

Bayesian network inferring fault probabilities from observed symptoms — provides probabilistic fault diagnoses with uncertainty.

Context

Child of L2-SLF-FDI within the Lunar Ark system

Principles

Typical implementations

Lunar considerations

Specifications

Functional

primary functionBayesian network inferring fault probabilities from observed symptoms — provides probabilistic fault diagnoses with uncertainty.
nodes in network1000

Physical

mass kg0
materialsCode on rad-hard NOR flash
vacuum compatibilityTrue

Operational

power consumption w1
thermal range c-40, 70
lifetime years100
mtbf hours500000

Interfaces

Provides

Requires

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Cite this entry

Lunar Ark Codex. "Bayesian Fault Inference" (L3-SLF-FDI-BAYES). Retrieved 10 September 2026, from https://lunarark.com/entry/L3-SLF-FDI-BAYES

Licensed CC-BY-SA 4.0. You may reuse and adapt this entry with attribution, under the same licence.

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