Competition data, including nominal and faulty scenarios, for Diagnostic Problems I and II of the Second International Diagnostic Competition. Three file formats are provided, tab-delimited .txt files, Matlab .mat files, and tab-delimited .scn files. The scenario (.scn) files are read by the DXC framework. See the DXC'10 Industrial Track Sample Data resource page for additional documentation, including system catalogs and schematics.

Competition data, including nominal and faulty scenarios, for Industrial Track Tier 1 and Tier 2 of the First International Diagnostic Competition. Three file formats are provided, tab-delimited .txt files, Matlab .mat files, and tab-delimited .scn files. The scenario (.scn) files are read by the DXC framework. See the DXC'09 Industrial Track Sample Data resource page for additional documentation, including system catalogs and schematics. Note that a "rematch" took place after the competition at the DX-09 Workshop. The rematch data consisted of the data for the original competition plus new data sets taken specifically for the rematch.

Sample data, including nominal and faulty scenarios, for Diagnostic Problems I and II of the Second International Diagnostic Competition. Three file formats are provided, tab-delimited .txt files, Matlab .mat files, and tab-delimited .scn files. The scenario (.scn) files are read by the DXC framework. See the Second International Diagnostic Competition project page for more information.

Sample data, including nominal and faulty scenarios, for Tier 1 and Tier 2 of the First International Diagnostic Competition. Three file formats are provided, tab-delimited .txt files, Matlab .mat files, and tab-delimited .scn files. The scenario (.scn) files are read by the DXC framework. See the Support/Documentation section below and the First International Diagnostic Competition project page for more information.

The sample scenarios provided here are competition scenarios from previous DXC competitions. They are identical to the competition data associated with previous years' projects, but also listed here for convenience. The zip files have a spreadsheet that lists the scenarios and relevant fault information. Each scenario is provided in three formats: tab-delimited .txt file, Matlab .mat file, and tab-delimited .scn file. The different formats are provided for your convenience; they have the same data. The scenario (.scn) files are the format read by the DXC framework. See the system catalogs and schematics for additional information.

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 evaluate diagnosis algorithms (DAs). This year‟s competition, DXC‟11, introduces a software track in addition to the industrial and synthetic tracks of previous competitions. A total of eleven DAs competed in the three tracks. The paper describes the systems, diag- nostic problems of the tracks, fault scenarios, evaluation metrics, participating DAs, results and analysis.

Results for the DXC'11 Industrial Track, Diagnostic Problem I (no entries for DP II).

Sample data for the DXC'09 Synthetic Track.

A framework to compare and evaluate diagnosis algorithms (DAs) has been created jointly by NASA Ames Research Center, Palo Alto Research Center, and Delft University of Technology. In this paper, we present the second implementation of this framework in a competition called DXC’10. The overall goal of this competition is to evaluate the performance of different diagnostic methods. In order to accurately mimic diagnostic technology use in a real-world context, we have defined diagnostic problems driven by use cases representing different roles of diagnosis results. In the end, the competition pitted seven DAs competing in two diagnostic problems. The paper presents the systems used in DXC’10, a description of faults and data sets used for each diagnostic problem, a listing of participating DAs, the performance metrics and results computed from running the DAs with the framework, and an analysis of the results.

지적재조사 사업시 지적확정예정조서를 작성시 생성되는 DAT 파일에 관한 현황을 성과검사결과, 검사방법, 오류유형에 관한 데이터입니다.성과검사결과와 오류유형이 기입된 필지만 있습니다.