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PiLogic Manifest: A Satellite EPS Diagnosis Engine

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The technical paper on Manifest, PiLogic's diagnostics model for satellite electrical power systems. Two paragraphs of it are here. The full paper is available on request.

What it covers

Manifest is autonomous fault diagnosis for spacecraft electrical power systems. The paper describes automated model production, which turns a system diagram into a working model in under a day and takes about 30 minutes for each further fleet variant, and it describes how that model answers in milliseconds on a single CPU core, with no GPUs and no custom hardware.

It also describes what the answers look like. Manifest weighs every reading against the whole system model as telemetry arrives, ranks every possible cause with an exact probability, and shows the evidence behind each number. Because the answers are grounded in probability theory, it cannot hallucinate. Deployment is through Python and C APIs and Docker, on a server, inside ground monitoring, or onboard.

Why it matters

It is the product the NASA Ames lineage in this record leads to, running under a two-year Cooperative Research and Development Agreement with the Air Force Research Laboratory.

How to read it

The full paper is sent on request. Ask for it through the contact form and choose Research as the topic.

More research.

JOURNAL · 2008 On probabilistic inference by weighted model counting Overview CONFERENCE · 2008 Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft Overview JOURNAL · 2010 Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study Overview

Don’t guess.
Compute.

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