Jun Ye
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 1-8, 2018, DOI:10.1080/10798587.2016.1261955
Abstract This paper proposes a dimension root distance and its similarity measure of single-valued neutrosophic
sets (SVNSs), and then develops the fault diagnosis method of hydraulic turbine by using the dimension
root similarity measure of SVNSs. By the similarity measures between the fault diagnosis patterns
and a testing sample with single-valued neutrosophic information and the relation indices, we can
determine the main fault type and the ranking order of various vibration faults for predicting some
possible fault trend. Then, the comparison of the fault diagnoses of hydraulic turbine based of the
proposed dimension root similarity measure More >
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