Health Assessment of Complex System Based on Evidential Reasoning Rule with Transformation Matrix

evidential reasoning rule evidential reasoning rule; system modelling; information transformation; parameter optimization TJ1-1570 0211 other engineering and technologies parameter optimization Mechanical engineering and machinery 02 engineering and technology system modelling information transformation
DOI: 10.3390/machines10040250 Publication Date: 2022-04-01T01:34:29Z
ABSTRACT
In current research of complex system health assessment with evidential reasoning (ER) rule, the relationship between the indicators reference grades and pre-defined assessment result grades is regarded as a one to one correspondence. However, in engineering practice, this strict mapping relationship is difficult to meet, and it may degrease the accuracy of the assessment. Therefore, a new ER rule-based health assessment model for a complex system with a transformation matrix is adopted. First, on the basis of the rule-based transformation technique, expert knowledge is embedded on the transformation matrix to solve the inconsistent problems between the input and the output, which keeps completeness and consistency of information transformation. Second, a complete health assessment model is established via the calculation and optimization of the model parameters. Finally, the effectiveness of the proposed model can be validated in contrast with other methods.
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