A Novel Sequential Testing Algorithm Based on Rough-Compact Sets Theory for Multiple Fault Diagnosis
Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.42
A common simplifying assumption that there exists, at most, a single fault in the system at any given time does not hold for complex systems with large number of components or systems with little opportunity for maintenance during operation. By employing concepts from rough sets theory, information theory and heuristic search approach, a novel sequential testing algorithm based on rough sets is presented for multiple fault diagnosis, which can efficiently improve the diagnostic precision, substantially reduce the expected testing cost and realize the real-time dynamic diagnosis independent of the priori probability of system.
Patten recognition, multiple fault diagnosis, rough sets, sequential testing algorithm
Gao Lei, Zeng Guangzhou, "A Novel Sequential Testing Algorithm Based on Rough-Compact Sets Theory for Multiple Fault Diagnosis", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 17-23, doi:10.1109/CSIE.2009.42