AIMar 5, 2019

Applying Active Diagnosis to Space Systems by On-Board Control Procedures

arXiv:1903.01710v14 citations
Originality Synthesis-oriented
AI Analysis

This addresses fault isolation in space systems, which is critical for reliability, but it is incremental as it applies an existing active diagnosis framework to a specific domain.

The paper tackled the problem of ambiguous fault diagnoses in space systems by applying active diagnosis to generate plans that enforce diagnosability, and demonstrated its effectiveness on a real Spacewire Network case study with up to 6 instruments.

The instrumentation of real systems is often designed for control purposes and control inputs are designed to achieve nominal control objectives. Hence, the available measurements may not be sufficient to isolate faults with certainty and diagnoses are ambiguous. Active diagnosis formulates a planning problem to generate a sequence of actions that, applied to the system, enforce diagnosability and allow to iteratively refine ambiguous diagnoses. This paper analyses the requirements for applying active diagnosis to space systems and proposes ActHyDiag as an effective framework to solve this problem. It presents the results of applying ActHyDiag to a real space case study and of implementing the generated plans in the form of On-Board Control Procedures. The case study is a redundant Spacewire Network where up to 6 instruments, monitored and controlled by the on-board software hosted in the Satellite Management Unit, are transferring science data to a mass memory unit through Spacewire routers. Experiments have been conducted on a real physical benchmark developed by Thales Alenia Space and demonstrate the effectiveness of the plans proposed by ActHyDiag.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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