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Flight Data For Tail 677
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... -
SPATIALLY ADAPTIVE SEMI-SUPERVISED LEARNING WITH GAUSSIAN PROCESSES FOR...
SPATIALLY ADAPTIVE SEMI-SUPERVISED LEARNING WITH GAUSSIAN PROCESSES FOR HYPERSPECTRAL DATA ANALYSIS GOO JUN * AND JOYDEEP GHOSH* Abstract. A semi-supervised learning algorithm... -
Flight Data For Tail 671
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... -
HIRENASD Beam FEM
This contains attempts to create BEAM FEM model. I have started a Blog to discuss this... please put your comments there and I will attempt to keep everything updated.... -
HIRENASD Unstructured Grids - VGRID software FINAL
These grids were constructed using VGRID software from NASA Langley. The grids designed for node based (labeled 'nc') and cell-centered (labeled 'cc') solvers are supplied.... -
Knowledge Management for Large Scale Condition Based Maintenance
This presentation will review the use of knowledge management in the development and support of Condition Based Maintenance (CBM) systems for complex systems with particular... -
Multivariate Time Series Search
Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring,... -
A Structural Model Decomposition Framework for Systems Health Management
Systems health management (SHM) is an impor- tant set of technologies aimed at increasing system safety and reliability by detecting, isolating, and identifying faults; and... -
Flight Data For Tail 684
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... -
Fault Adaptive Control of Overactuated Systems Using Prognostic Estimation
Most fault adaptive control research addresses the preservation of system stability or functionality in the presence of a specific failure (fault). This paper examines the fault... -
Predicting Battery Life for Electric UAVs
This paper presents a novel battery health management technology for the new generation of electric unmanned aerial vehicles powered by long-life, high-density, scalable power... -
2010_09_06 Lab
Ballscrew jam fault datasets (diagnostic and prognostic) -
A Model-based Avionic Prognostic Reasoner (MAPR)
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... -
Global Navigation Satellite System (GNSS) Final Orbit Product from NASA CDDIS
Precise satellite orbits derived from analysis of Global Navigation Satellite System (GNSS) data. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS... -
Prognostics in Battery Health Management
Batteries represent complex systems whose internal state vari- ables are either inaccessible to sensors or hard to measure un- der operational conditions. This work exemplifies... -
Space Physics Data Facility (SPDF)
The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center. Besides direct access... -
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more... -
A Survey of Health Management User Objectives in Aerospace Systems Related...
One of the most prominent technical challenges to effective deployment of health management systems is the vast difference in user objectives with respect to engineering... -
Design of heavy lift cargo aircraft
This is the bird of the skies of the future. The heavy lift cargo aircraft which is currently being developed by me has twice the payload capacity of an Antonov A-225 aircraft... -
Ensemble Data Mining Methods
Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve better...