采用符号化时间序列分析法对某型发动机尾气的静电监测信号进行分析,研究其特征值提取方法,并以此为依据判断发动机气路健康状态。利用气路静电传感器及相关系统采集发动机尾气静电信号,使用Matlab工具对采集到的实验数据进行符号化分析,研究了符号化序列的标准差、香农熵或范数等特征值的提取方法,据此来判断发动机气路的健康状态。 The symbolic time series analysis method is used to analyze the electrostatic monitoring signal of a certain type of engine exhaust gas, and the eigenvalue extraction method is studied. Based on this, the state of the engine gas path is judged. The static signals of engine tail gas were collected by gas static sensor and related system. The collected experimental data were symbolized by using Matlab tool. The standard deviation, the Shannon entropy or the norm of the symbolic sequence were studied. This to determine the health of the engine airway.