一种融合决策方法及其在束流泵机组井下工况诊断中的应用

Ying Han, Kun Li
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引用次数: 0

摘要

多源决策被认为有助于获得完整的结果。本文采用D-S证据理论进行多源决策融合,认为证据之间的冲突是由质量函数的不确定性引起的。在许多传统研究中,在融合不同的质量函数时,很少考虑证据自身的特征。为了解决这一问题,利用区间值直觉模糊集理论将某质量函数转化为区间值。通过计算证据间的灰色关联度来确定各证据的权重。然后根据D-S规则对质量函数进行修正和融合。通过对束流泵机组井下工况的诊断,表明该方法能取得满意的结果。
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An approach for fusion decision and its application to diagnose down-hole conditions of beam pump unit
Multi-source decision is considered to be useful to make completed results. In this paper, D-S evidence theory is used to do multi-source decision fusion, and the conflict between evidences is thought to be caused by the uncertainty of mass function. In many traditional researches, evidence's own characteristics are seldom considered when fusing different mass functions. To solve this problem, the certain mass function is transformed into interval value using interval-valued intuitionistic fuzzy set theory. The weights of all evidences are determined by the calculation of grey relation degree between evidences. Then the mass function is modified and fused according to the D-S rule. An example for diagnosis of down-hole conditions of beam pump unit shows that the proposed method can receive satisfactory results.
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