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Distributed Data Mining in Peer-to-Peer Networks
Peer-to-peer (P2P) networks are gaining popularity in many applications such as file sharing, e-commerce, and social networking, many of which deal with rich, distributed data... -
Removing Spikes While Preserving Data and Noise using Wavelet Filter Banks
Many diagnostic datasets suffer from the adverse effects of spikes that are embedded in data and noise. For example, this is true for electrical power system data where the... -
Distributed Decision-Tree Induction in Peer-to-Peer Systems
This paper offers a scalable and robust distributed algorithm for decision-tree induction in large peer-to-peer (P2P) environments. Computing a decision tree in such large... -
RSW-CFL3D-Schuster-Medium Grid
not available -
2010_09_08 Lab
Nominal and ballscrew jam fault datasets (diagnostic and prognostic) -
2010_09_10_position_dead
Scenarios with a non-functioning position sensor fault (diagnostic) -
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression... -
Model-based Diagnostics for Propellant Loading Systems
The loading of spacecraft propellants is a complex, risky operation. Therefore, diagnostic solutions are neces- sary to quickly identify when a fault occurs, so that recov- ery... -
Enceladus Results
Here are some results from the Spectra Decomposition Algorithm on infrared spectral images of Saturn's moon Enceladus. Figure 1 is the spatial contribution of the 2nd component.... -
Uncertainty Management for Diagnostics and Prognostics of Batteries using...
Uncertainty management has always been the key hurdle faced by diagnostics and prognostics algorithms. A Bayesian treatment of this problem provides an elegant and theoretically... -
Simulation-based Design and Validation of Automated Contingency Management...
This paper introduces a novel Prognostics-enhanced Automated Contingency Management (or ACM+P) paradigm based on both current health state (diagnosis) and future health state... -
Multi-objective optimization based privacy preserving distributed data...
This paper proposes a scalable, local privacy preserving algorithm for distributed Peer-to-Peer (P2P) data aggregation useful for many advanced data mining/analysis tasks such... -
RSW Mixed Element Fine Grid
This is the RSW Mixed Element Unstructured Fine Grid Set. -
Sharepoint Link
Link to Sharepoint website containing a repository of more detailed internal information for authorized users -
HIRENASD Unstructured Grids - Centaur software
These grids were constructed using Centaur software at DLR in Germany. The grids designed for node based (labeled 'cv') and cell-centered solvers (labeled 'cc') are supplied.... -
images_BSCW
image files for the BSCW configuration webpages. -
Prognostics of Power Electronics, methods and validation testbeds
An overview of the current results of prognostics for DC- DC power converters is presented, focusing on the output filter capacitor component. The electrolytic capacitor used... -
Rotor health monitoring combining spin tests and data-driven anomaly...
Health monitoring is highly dependent on sensor systems that are capable of performing in various engine environmental conditions and able to transmit a signal upon a... -
References: AePW publications
This page is the repository for the publications resulting from the AePW. This includes the special sessions at conferences: AIAA ASM 2012, Grapevine TX; AIAA SDM 2012, Boston;... -
DXC'10 Industrial Track Competition Data
Competition data, including nominal and faulty scenarios, for Diagnostic Problems I and II of the Second International Diagnostic Competition. Three file formats are provided,...