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Research and Application of the Improved DST new method Based on fuzzy consistent matrix and the weighted average

机译:基于模糊一致矩阵的改进DST新方法的研究与应用及加权平均值

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Aiming at the existing defects of evidence dempster-shafer theory (DST) in dealing with high conflict evidence, we proposed a new method to improve DST. By introducing concept of fuzzy consistent matrix, calculate the weights of factors, and put different sources of evidence into distinguish, and finally cast more than one vote to prevent the phenomenon, the average convergence of evidence. What's more, the improved DST new method is applied to the rolling bearing fault diagnosis of CNC machine workbench .The test results show that the improved new synthetic formula increases the accuracy of fault diagnosis Ball, the conflict of evidence synthesis results better, to achieve better results.
机译:针对现有证据Dempster-Shafer理论(DST)的缺陷在处理高冲突证据时,我们提出了一种改善DST的新方法。 通过引入模糊一致矩阵的概念,计算因素的重量,并将不同的证据来源分解,并最终投反投票以防止现象,证据的平均趋同。 更重要的是,改进的DST新方法适用于数控机床工作台的滚动轴承故障诊断。测试结果表明,改进的新型合成公式提高了故障诊断球的准确性,证据合成的冲突结果更好,实现了更好的 结果。

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