-
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. -
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,... -
NEW RSW & Wall Medium Mixed Element Grid
RSW Medium Mixed Element Grid with Viscous Wind Tunnel Wall at the root. This grid is for a node-based unstructured solver. Quad Surface Faces= 18432 Tria Surface Faces= 216952... -
A Discussion on Uncertainty Representation and Interpretation in Model-based...
This article presented a discussion on uncertainty representation and management for model-based prog- nostics methodologies based on the Bayesian tracking framework and... -
PADMINI: A PEER-TO-PEER DISTRIBUTED ASTRONOMY DATA MINING SYSTEM AND A CASE STUDY
PADMINI: A PEER-TO-PEER DISTRIBUTED ASTRONOMY DATA MINING SYSTEM AND A CASE STUDY TUSHAR MAHULE, KIRK BORNE, SANDIPAN DEY, SUGANDHA ARORA, AND HILLOL KARGUPTA** Abstract. Peer-... -
Distributed Anomaly Detection using 1-class SVM for Vertically Partitioned Data
There has been a tremendous increase in the volume of sensor data collected over the last decade for different monitoring tasks. For example, petabytes of earth science data are... -
Identification of Spatial Fault Patterns in Semiconductor Wafers
Abstract The semiconductor industry is constantly searching for new ways to increase the rate of both process development and yield learning. As more data is being collected and... -
Developing IVHM Requirements for Aerospace Systems
The term Integrated Vehicle Health Management (IVHM) describes a set of capabilities that enable sustainable and safe operation of components and subsystems within aerospace... -
HIRENASD NLR grid
Structured multiblock grid of HIRENASD wing with medium grid density, about 10 mill grid points, 9.5 mill cells. Starting from coarse AIAA AEPW structured grid, heavily modified... -
Third International Diagnostic Competition
We present the third implementation of a framework created jointly by NASA Ames Research Center, Palo Alto Research Center, and Delft University of Technology to com- pare and... -
Precursor Parameter Identification for Insulated Gate Bipolar Transistor...
Precursor parameters have been identified to enable development of a prognostic approach for insulated gate bipolar transistors (IGBT). The IGBT were subjected to thermal... -
Prognostics Health Management and Physics based failure Models for...
This paper proposes first principles based modeling and prognostics approach for electrolytic capacitors. Electrolytic capacitors and MOSFETs are the two major components, which... -
Plug Load Data
We provide MATLAB binary files (.mat) and comma separated values files of data collected from a pilot study of a plug load management system that allows for the metering and... -
ν-Anomica: A Fast Support Vector based Novelty Detection Technique
In this paper we propose ν-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class...