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The construction of new weakening buffer operators and their application

机译:新的弱化缓冲算子的构造及其应用

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Purpose - According to the basic principle of grey system and third axiom buffer operator, aiming at the problem of disturbance, some new weakening buffer operators are established by analytical skills in the process of prediction. The problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences is resolved effectively. An example shows that the kind of new weakening buffer operators increase the forecast precision of data forecast model remarkably. The aim of this paper is to attempt to resolve the problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences. Design/methodology/approach - In view of the problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences, according to the basic principle of grey system and third axiom buffer operator, some new weakening buffer operators are established by analytical skills. As an example, the kind of new weakening buffer operators can increase the forecast precision of data forecast model remarkably. Findings - The results show that the new weakening buffer operators can increase the forecast precision of data forecast model remarkably. Practical implications - The new weakening buffer operators exposed in the paper can be used to resolve the problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences and increase the forecast precision of data forecast model remarkably. Originality/value - The paper succeeds in increasing the forecast precision of data forecast model remarkably.
机译:目的-根据灰色系统和第三公理缓冲算子的基本原理,针对扰动问题,在预测过程中通过分析技巧建立了一些新的弱化缓冲算子。有效解决了振动数据序列预处理中定量分析与定性分析之间的一些矛盾问题。实例表明,这种新型的弱化缓冲算子可以显着提高数据预测模型的预测精度。本文的目的是试图解决振动数据序列预处理中存在的定量分析与定性分析之间的一些矛盾问题。设计/方法/方法-针对振动数据序列预处理中定量分析和定性分析之间存在一些矛盾的问题,根据灰色系统和第三公理缓冲算子的基本原理,通过以下方法建立了一些新的弱化缓冲算子:分析能力。例如,一种新的弱化缓冲算子可以显着提高数据预测模型的预测精度。结果-结果表明,新的弱化缓冲算子可以显着提高数据预测模型的预测精度。实际意义-本文中使用的新的弱化缓冲算子可用于解决振动数据序列预处理中定量分析和定性分析之间的一些矛盾问题,并显着提高数据预测模型的预测精度。原创性/价值-本文成功地提高了数据预测模型的预测精度。

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