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Transcript
Pl(Thermal)=0.6
Pl(Electrical)=0.5
Pl(Not faulted)=0.5
Bel(Thermal)=0.1
Bel(Electrical)=0.0
Bel(Not faulted)=0.0
Approach 2 Unknown evidence minimized. Evidence of 0.1 is assigned to unknown
so that the resulting basic assignment is:
m(Thermal)=0.5
m(Electrical)=0.4
m(Not faulted)=0
m(Unknown)=0.1
and fuzzy measures are:
Pl(Thermal)=0.6
Pl(Electrical)=0.5
Pl(Not faulted)=0.1
Bel(Thermal)=0.5
Bel(Electrical)=0.4
Bel(Not faulted)=0.0
By minimizing the evidence assigned to the unknown, there is more clarity in the
conclusions. The difference between the belief and plausibility values is smaller and there is a
clearer distinction between the faulted and not faulted. In this work, evidence assigned to
unknown is minimized within a particular diagnostic method. Between diagnostic methods
(e.g., DGA and acoustic measurements) the Dempster rule of combination is applied. This
approach assumes that different diagnostic methods present independent sources of
information while within a particular method the rules are closely related and evidence
assignments must be as consistent as possible.
5.3 Considerations of efficiency
30