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Abstract: Knowledge discovery on oil fault diagnosis system (OFDS) is
essentially a problem of pattern classifier and recognition. Based on
Rough set theory and tribology system, knowledge discovery model of OFDS
is proposed. By applying the concept of inclusion degree to Rough set
theory, method of knowledge reduction and discovery based on inclusion
degree is deduced, and the relation between the inclusion degree and
measures of rough set data analysis is also discussed. In the end an
application example of diesel engine OFDS with 9 attributes is given to
show the effect of this method.
Key words: Oil analysis Fault diagnosis Rough set Inclusion degree
Knowledge discovery
CLC No: TH117.1
国家自然科学基金资助项目(59990470,59990472).
Received 20021105, received in revised form 20030416
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