Title :
A novel knowledge discovery approach based on rough sets and fault tree analysis
Author_Institution :
Sch. of Comput. & Commun., Hunan Inst. of Eng., Xiangtan, China
Abstract :
In this paper, a novel approach based on rough set theory and a pair wise comparison table for reduction and ordering of basic events in fault tree is proposed. The details of the approach, together with the basic concepts of rough set theory, are presented. A case study is used to illustrate the application of the proposed approach. Results show that a reasonable ordering of basic events in a fault tree can be generated easily. With the ordering of basic events determined, a maintenance engineer in a manufacturing plant can then carry out fault diagnosis in an efficient and orderly manner, so as to prevent accidents.
Keywords :
accident prevention; data mining; fault diagnosis; manufacturing systems; production engineering computing; rough set theory; trees (mathematics); accident prevention; fault diagnosis; fault tree analysis; knowledge discovery approach; maintenance engineer; manufacturing plant; pair wise comparison table; rough set theory; Computer science; Decision making; Fault diagnosis; Fault trees; Manufacturing; Rough sets; fault tree analysis; knowledge acquisition; reduction; rough set theory;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569446
