Dynamic Testing Algorithm Based on Rough Sets for Multiple Fault Diagnosis

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...

Full description

Saved in:
Bibliographic Details
Published inFSKD 2008 : Fifth International Conference on Fuzzy Systems and Knowledge Discovery : 18-20 October, 2008 : Jinan, Shandong, China : proceedings Vol. 3; pp. 157 - 163
Main Authors Lei Gao, Guangzhou Zeng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
Computer science
Cost function
Fault diagnosis
Fuzzy systems
Heuristic algorithms
Information theory
Isolation technology
multiple fault diagnosis
patten recognition
Real time systems
Rough sets
sequntial testing algorithm
System testing
Online AccessGet full text
ISBN9780769533056
0769533051
DOI10.1109/FSKD.2008.176

Cover

More Information
Summary: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 dynamic 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.
ISBN:9780769533056
0769533051
DOI:10.1109/FSKD.2008.176