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Found 791 dataset(s) matching "diagnostics".
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Model-based diagnosis typically uses analytical redundancy to compare predictions from a model against observations from the system being diagnosed. However this approach does not work very well...
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In this work we are concerned with the conceptual design of large-scale diagnostic and health management systems that use Bayesian networks. While they are potentially powerful, improperly...
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The DXC Framework is a collection of programs and APIs for running and evaluating diagnostic algorithms (DAs) under identical experimental conditions. It is complementary to system XML catalogs...
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Results for the DXC'11 Industrial Track, Diagnostic Problem I (no entries for DP II).
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We present in this article a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system, namely the Advanced...
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The work described herein is aimed to advance prognostic health management solutions for electro-mechanical actuators and, thus, increase their reliability and attractiveness to designers of the...
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In situations where the cost/benefit analysis of using physics-based damage propagation algorithms is not favorable and when sufficient test data are available that map out the damage space, one...
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NASA researchers recently demonstrated successful real-time fault detection and isolation of a virtual reusable launch vehicle main propulsion system. Using a detailed simulation of a vehicle...
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The Model-based Avionic Prognostic Reasoner (MAPR) presented in this paper is an innovative solution for non-intrusively monitoring the state of health (SoH) and predicting the remaining useful...
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As fault diagnosis and prognosis systems in aerospace applications become more capable, the ability to utilize information supplied by them becomes increasingly important. While certain types of...
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Diagnosability is an important issue in the design of diagnostic systems, because it helps identify whether sufficient information is available to distinguish all the faults. Diagnosability of...
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This paper introduces a novel Prognostics-enhanced Automated Contingency Management (or ACM+P) paradigm based on both current health state (diagnosis) and future health state estimates (prognosis)...
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Nominal, ballscrew jam fault, and spall fault scenarios (diagnostic and prognostic)
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Ballscrew jam fault datasets (diagnostic and prognostic)
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Nominal and ballscrew jam fault datasets (diagnostic and prognostic)
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Ballscrew jam fault datasets (diagnostic and prognostic)
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Jam fault scenarios with tensile (-40 lbs) load (diagnostic and prognostic).
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Jam fault scenarios with tensile (+40 lbs) load (diagnostic and prognostic)
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Scenarios with a non-functioning position sensor fault (diagnostic)
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Ballscrew jam fault datasets (diagnostic and prognostic)
