- Related Research Areas
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Diagnostics
- Project Description
- The First International Diagnostic Competition (DXC'09) was hosted at the 20th International Workshop on Principles of Diagnosis (DX-09) in Stockholm, Sweden, June 2009. The objectives of the competition series are to accelerate research in theories, principles, and computational techniques for monitoring and diagnosis of complex systems, to en...Morecourage the development of diagnostic software platforms, and to provide a forum that can be utilized by algorithm developers to test and validate their technologies on real-world physical systems.
The Second International Diagnostic Competition (DXC'10) DASHlink project page can be accessed here. The Third International Diagnostic Competition (DXC'11) DASHlink project page can be accessed here. For additional information on the International Diagnostic Competition series, click here.
Using the DXC'09 Data and Information
The competition has concluded but we provide DXC'09 data and information on this project page for researchers who would like to evaluate their diagnostic algorithms (DAs) using data sets from a physical system and 74XXX/ISCAS85 combinational benchmarks, and compare the performance against other DAs. Here's an overview of the steps involved.
1.) Knowledge acquisition. Read about the diagnostic problems in the announcement document. Refer to the resources page for Industrial Track sample data, ADAPT electrical power system description catalogs and schematics, Synthetic Track sample data, and ISCAS85 circuits documentation.
2.) Develop diagnostic algorithms/models. Using the documentation and sample data, DA developers build diagnostic models and strategies to diagnose injected faults.
3.) Interface DA with DXC framework. The DA uses framework API calls to read sensor data and commands from the scenario files and gets diagnoses from the DAs.
4.) Evaluate DA performance on sample scenarios. Using evaluator software provided with the framework, DA developers assess the performance on sample scenarios and make improvements as necessary.
5.) Evaluate DA performance on competition scenarios. Now, try out the DA on the Industrial Track competition data and Synthetic Track competition data and see how it compares to results from DXC'09.
6.) Refer to the publications and slides for additional information....Less
- Project Administrator(s):
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SCOTT POLL
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