Project 1.9: Fault Detection & Self-Repair AI (FDSR) - (Concept Only)

A prognostic and health management (PHM) system designed to detect anomalies, diagnose root causes, and trigger autonomous remediation strategies for long-duration infrastructure.

Problem

Space-based hardware is subject to extreme thermal cycling, radiation-induced bit-flips, and mechanical wear. Traditional maintenance relies on "scheduled replacement" or "ground-control intervention," both of which are unsustainable for deep-space colonies where communication latency is high and spare parts are limited.

The FDSR matters because it functions as the Immune System of the colony. It transforms the STC from a static builder into a self-healing organism, capable of identifying a failing bearing or a solar-cell degradation before it leads to a catastrophic system-wide blackout.

Solution

The FDSR is the Resilience Layer of the STC. It monitors the health of all other modules to ensure operational longevity.

  • Consumes: Real-time telemetry from the Auto Constructor (3.5) and environmental sensor data from the PSA (3.1).
  • Produces: Diagnostic reports, isolation commands, and "Maintenance Orders" for the Task Allocator (3.6).
  • Interfaces: Triggers the Resource Planner (3.4) to manufacture replacement parts when a failure is predicted.

Method

The system architecture utilizes a Proactive Maintenance approach:

  • Digital Twin Synchronization: Comparing real-time telemetry against a "high-fidelity virtual model" to detect subtle deviations in performance.
  • Bayesian Root-Cause Analysis: Using probabilistic graphical models to trace an anomaly (e.g., voltage drop) to its most likely cause (e.g., dust accumulation vs. hardware failure).
  • Isolation & Remediation: Implementing "Fail-Soft" protocols—isolating compromised circuits or modules to protect the rest of the infrastructure while repair is pending.

Tools & Technologies

Python, PyMC3 (Bayesian Modeling), ML (Anomaly Detection), Digital Twin Simulations, ROS2

Diagrams / Visuals

[System Architecture: NA]

Results & Outcomes

đź“– STATUS: CONCEPTUAL / PRE-PLANNING

This project is in the planning phase. No active codebase exists.

Current Focus: NA

Next Steps

  • To be confirmed.