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Impact of Input Uncertainty on Failure Prognostic Algorithms: Extending the...
This paper presents a novel set of uncertainty measures to quantify the impact of input uncertainty on nonlinear prognosis systems. A Particle Filtering-based method is also... -
Post Workshop Information
Repository for information generated after the workshop, such as debriefings, summaries, publication plans etc -
A Novel RSPF Approach to Prediction of High-Risk, Low-Probability Failure Events
Particle filters (PF) have been established as the de facto state of the art in failure prognosis, and particularly in the representation and management of uncertainty in long-... -
NEW RSW & Wall Coarse Mixed Element Grid
This is the Coarse Mixed Element Grid for the RSW with a viscous wall at the root. This grid is for a node-based unstructured solver. Quad Surface Faces= 9728 Tria Surface... -
RSW-CFL3D-Schuster-Final
The final CFL3D Structured grid used for steady and unsteady computations. The grid required some minor modifications to accommodate the unsteady computations, so it is... -
RSW Mixed Element Medium Grid
Medium grid for node-based unstructured methods using mixed-elements based on the grid guidelines. -
A multi-feature integration method for fatigue crack detection and crack...
This paper presents an experimental study of damage detection and quantification in riveted lap joints. Embedded lead zirconate titanate piezoelectric (PZT) ceramic wafer-type... -
Ensemble Approach to Building Mercer Kernels
This paper presents a new methodology for automatic knowledge driven data mining based on the theory of Mercer Kernels, which are highly nonlinear symmetric positive definite... -
Distributed Prognostics Based on Structural Model Decomposition
Within systems health management, prognostics focuses on predicting the remaining useful life of a system. In the model-based prognostics paradigm, physics-based models are... -
Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft
Electrical power systems play a critical role in spacecraft and aircraft, and they exhibit a rich variety of failure modes. This paper discusses electrical power system fault... -
Model Adaptation for Prognostics in a Particle Filtering Framework
One of the key motivating factors for using particle filters for prognostics is the ability to include model parameters as part of the state vector to be estimated. This... -
Gridding Guidelines
not available -
Towards Prognostics for Electronics Components
Electronics components have an increasingly critical role in avionics systems and in the development of future aircraft systems. Prognostics of such components is becoming a... -
The Role of Safety in IVHM - Chapter 9
When we address safety in a book on the business case for IVHM, the question arises whether safety isn’t inherently in conflict with the need of operators to run their systems... -
Distilling the Verification Process for Prognostics Algorithms
The goal of prognostics and health management (PHM) systems is to ensure system safety, and reduce downtime and maintenance costs. It is important that a PHM system is verified... -
OPTIMAL PARTITIONS OF DATA IN HIGHER DIMENSIONS
OPTIMAL PARTITIONS OF DATA IN HIGHER DIMENSIONS BRADLEY W. JACKSON, JEFFREY D. SCARGLE, AND CHRIS CUSANZA, DAVID BARNES, DENNIS KANYGIN, RUSSELL SARMIENTO, SOWMYA SUBRAMANIAM,... -
RSW Node Centered Coarse Grid w/ Split Walls Coarse/Med/Fine
This contains the remaining 5 tarballs (5 grids and associated files) for the RSW node centered grids. Each tarball contains a stream-AFLR3 grid, CGNS grid, surface grid, mapbc... -
Flight Data For Tail 666
The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: -sensor... -
BSCW Grid Depository
Please upload your BSCW grids here. Thank you. -
Force fight under inconsistent ommission error
Matlab code to generate plots associated with the force fight associated a triple redundant command module under an inconsistent ommission error.