-
Estimation and Bias Correction of Aerosol Abundance using Data-driven...
Abstract—Air quality information is increasingly becoming a public health concern, since some of the aerosol particles pose harmful effects to peoples health. One widely... -
Modeling, Detection, and Disambiguation of Sensor Faults for Aerospace Applications
Sensor faults continue to be a major hurdle for sys- tems health management to reach its full potential. At the same time, few recorded instances of sensor faults exist. It is... -
First International Diagnosis Competition - DXC'09 Slides
Slides presented at DXC'09 session of 20th International Workshop on Principles of Diagnosis -
A knowledge-based system approach for sensor fault modeling, detection and mitigation
Sensors are vital components for control and advanced health management techniques. However, sensors continue to be considered the weak link in many engineering applications... -
DXC'11 Industrial Track Competition Data
Competition data, including nominal and faulty scenarios, for Diagnostic Problem I of the Third International Diagnostic Competition. Three file formats are provided, tab-... -
Distributed Anomaly Detection Using Satellite Data From Multiple Modalities
There has been a tremendous increase in the volume of Earth Science data over the last decade from modern satellites, in-situ sensors and different climate models. All these... -
BSCW ICEM CFD grids from ANSYS Germany
These grids were constructed by ANSYS Germany using ICEM CFD. Please contact Thorsten Hansen, if you have any questions. -
Pilot Study of a Plug Load Management System: Preparing for Sustainability Base
NASA Ames Research Center’s Sustainability Base is a new 50,000 sq. ft. high-performance office building targeting a LEED Platinum rating. Plug loads are expected to account for... -
Scalable Distributed Change Detection from Astronomy Data Streams using...
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the... -
HIRENASD coarse unstructured
Unstructured HIRENASD mesh: - coarse size (5.7 million nodes, 14.4 million elements) - for node centered solvers - 01.06.2011 - caution: dimensions in mm -
RTO-TR-26
Computational Unsteady Aerodynamics computer codes are being increasingly used. In order to validate their results they must be tested against valid experimental data. The... -
CIDU 2011 Agenda
not available -
A Model-Based Prognostics Approach Applied to Pneumatic Valves
Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain knowledge of the... -
Application of Inductive Monitoring System to Plug Load Anomaly Detection
NASA Ames Research Center’s Sustainability Base is a new 50,000 sq. ft. LEED Platinum office building. Plug loads are expected to account for a significant portion of the... -
RSW - Rectangular Supercritical Wing
IGES files Grids Validation Data -
Airborne Electro-Mechanical Actuator Test Stand for Development of...
With the advent of the next generation of aerospace systems equipped with fly-by-wire controls, electro- mechanical actuators (EMA) are quickly becoming components critical to... -
Fleet Level Anomaly Detection of Aviation Safety Data
For the purposes of this paper, the National Airspace System (NAS) encompasses the operations of all aircraft which are subject to air traffic control procedures. The NAS is a... -
Blind Source Separation
Blind source separation in Simulink using STFT and inverse STFT (Signal processing blockset). -
Advances in Uncertainty Representation and Management for Particle Filtering...
Particle filters (PF) have been established as the de facto state of the art in failure prognosis. They combine advantages of the rigors of Bayesian estimation to nonlinear... -
Aviation System Monitoring and Modeling Project
Air transportation, one of the most important modes of transportation, is also one of the safest. Nevertheless, the public demands that safety levels continuously improve and...