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Recurring Anomaly Detection System (ReADS)
Overview: ReADS can analyze text reports, such as aviation reports and problem or maintenance records. ReADS uses text clustering algorithms to group loosely related reports and... -
Application of Model Based Prognostics to Pneumatic Valves in a Cryogenic...
Pneumatic-actuated valves are critical components in many applications, including cryogenic propellant loading for space operations. For these components, failures need to be... -
Distributed Identification of Top-l Inner Product Elements and its...
Inner product computation is an important primitive used in many techniques for feature dependency detection, distance computation, clustering and correlation computation among... -
Entropy-based Probabilistic Fatigue Damage Prognosis and Algorithmic...
In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an underlying physics-... -
stableGP
The code in the stableGP package implements Gaussian process calculations using efficient and numerically stable algorithms. Description of the algorithms is in the paper... -
images_RSW
Images for RSW configuration. -
DXC'09 Synthetic Track Competition Data
Synthetic Track Competition Data -
Probabilistic Fault Diagnosis in Electrical Power Systems
Electrical power systems play a critical role in spacecraft and aircraft. This paper discusses our development of a diagnostic capability for an electrical power system testbed,... -
Modeling non-Gaussian time-varying vector autoregressive process
We present a novel and general methodology for modeling time-varying vector autoregressive processes which are widely used in many areas such as modeling of chemical processes,... -
Student travel application for CIDU 2011
Eligibility Students with accepted papers at CIDU 2011 Application deadline September 12, 2011 -
Tracking Logistical Constraints Across Missions and Organizations: A...
execute plans and schedules that achieve stated goals while simultaneously minimizing the cost of logistics management and maximizing resource productivity. This goal is a... -
Li-ion Battery Aging Datasets
This data set has been collected from a custom built battery prognostics testbed at the NASA Ames Prognostics Center of Excellence (PCoE). Li-ion batteries were run through 3... -
HIRENASD Chimera medium-size grid
Chimera medium-size grid for HIRENASD. Two files, fort.501 for grid for wing, fuselage, and 'world' zones, fort.503 for collar zone. File format is plot3d, unstructured, double... -
Privacy Preservation through Random Nonlinear Distortion
Consider a scenario in which the data owner has some private or sensitive data and wants a data miner to access them for studying important patterns without revealing the... -
Model-based Prognostics with Concurrent Damage Progression Processes
Model-based prognostics approaches rely on physics-based models that describe the behavior of systems and their components. These models must account for the several different... -
References: BSCW
Benchmark Supercritical Wing was also tested on the OTT with oscillations in Pitch. Only one row of pressure transducers were acquired during these tests. The time histories for... -
Sparse Inverse Gaussian Process Regression with Application to Climate...
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. Gaussian Process regression... -
Flight Data For Tail 659
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... -
On Applying the Prognostic Performance Metrics
Prognostics performance evaluation has gained significant attention in the past few years. *As prognostics technology matures and more sophisticated methods for prognostic... -
An Approach to Prognostic Decision Making in the Aerospace Domain
The field of Prognostic Health Management (PHM) has been undergoing rapid growth in recent years, with development of increasingly sophisticated techniques for diagnosing faults...