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Proceedings ArticleDOI

Modeling power systems for diagnosis - How good is good enough?

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This article is published in Intersociety Energy Conversion Engineering Conference.The article was published on 1992-08-03. It has received 9 citations till now. The article focuses on the topics: Redundancy (engineering) & Maximum power point tracking.

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Patent

Method and system for autonomous spacecraft control

TL;DR: An autonomous control system as mentioned in this paper supports autonomous operation of the a spacecraft in carrying out mission objective commands, and provides autonomous fault detection, isolation and recovery, but it does not have the capability to perform mission integration.
Patent

In situ method and system for autonomous fault detection, isolation and recovery

TL;DR: In this paper, a fault identification, isolation and fault recovery system autonomously controls spacecraft operational systems is presented, where a fault detection and isolation module monitors the operational systems, identifies faults via such monitoring and attempts to isolate component causing the fault.
Journal ArticleDOI

Model-based, real-time control of electrical power systems

TL;DR: The objective of this approach is to develop a system that can reliably diagnose faults in power distribution networks, identify sensor failures, and carry out appropriate corrective action automatically, and an intelligent power controller (IPC) which has these capabilities is described.
Journal ArticleDOI

Managing space system anomalies using first principles reasoning

TL;DR: A software-based reasoning system based on this theory was implemented and applied to the configuration control of a space system consisting of an on-orbit satellite and a geographically distributed network of ground communication and control stations as discussed by the authors.

Managing Space System Anomalies Using First Principles Reasoning Detecting, Diagnosing, and Resolving Problems That Occur in Satellites and Their Ground Networks

TL;DR: This paper discusses the development of a theory of anomaly management that uses fundamental models of a system's structure, behavior, and intended use to support the detection of symptoms, the computation of possible diagnoses, and the generation of resolution actions.