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基于复杂度和符号空间的离心泵空化状态估计

         

摘要

In order to construct a symbolic space to describ dynamic characteristics of a structure, vibration response sequences of several points were measured. Firstly, these sequences were converted to symbolic series by using the multi-segmented coarse-grained method. With Lempel-Ziv complexity analysis, a symbolic space was constructed. A centrifugal pump was studied as an example. Its cavitation state was estimated in the symbolic space. The results provided a novel method of state estimation to complex structures difficult to be modeled or ones working in complex environment.%对结构多个测点的振动响应序列,利用多值粗粒化方法转化为符号序列,进行Lempel-Ziv复杂度分析,构建描述结构的动力学特性符号空间.以某离心泵为例,利用符号空间方法对该泵空化状态进行估计,与工作模态分析方法对比验证了结论.为难以准确建模的复杂结构和复杂环境的状态估计提供一种新方法.

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