Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 6 of 6 for “"FDIR"”.
-
Achieving fault tolerance via robust partitioning and N-Modular Redundancy
… fault detection, isolation and recovery (FDIR). The FDIR function is implemented in software that executes on commercial-off-the-shelf (COTS) hardware components that are also based on open standards. The FDIR function and the user applications execute on the same processor. The robust …
-
Fault detection, isolation, and recovery for autonomous parafoils
… a fault detection, isolation, and recovery (FDIR) method for an autonomous parafoil system. The detection and isolation processes use residual signals generated from observers and other system models. Statistical methods are applied to evaluate these residuals and determine whether a fault …
-
High Performance and Reliable Gbps Spacecraft Data Handling System
… and Fault Detection, Isolation, and Recovery (FDIR) capabilities. This research contributes towards a better understanding of spacecraft data handling systems and how SpaceFibre can meet satellite payload data system requirements.<br/><br/>There are a number of publications about the SpaceFibre …
-
Autonomous thruster failure recovery for underactuated spacecraft
… failure detection, isolation, and recovery (FDIR) is an essential component to any robust space-based system. This thesis focuses specifically on developing thruster failure recovery techniques as there exist many proven thruster FDI algorithms. Typically, thruster failures are handled …
-
Learning-Based Methods for Spacecraft Dynamics Modeling, Filtering, and Predictive Control
… and Fault Detection, Isolation, and Recovery (FDIR) scenarios. The Uncertainty-Aware Regression Unscented Kalman Filter (UAR-UKF) is developed and applied to perform state estimation for a nonlinear dynamical system using a learned process model. The Uncertainty-Aware Regression Bayesian Filter …
-
Deep-Learning Based Multiple-Model Bayesian Architecture for Spacecraft Fault Estimation
<p>This thesis presents recent findings regarding the performance of an intelligent architecture designed for spacecraft fault estimation. The approach incorporates a collection of systematically organized autoencoders within a Bayesian framework, enabling early detection and classification of …