An algorithm of feature extraction and damage alarming based on auto-regressive moving-average (ARMA) time series analysis is presented.
本文基于时间序列分析ARMA模型探讨了结构损伤特征提取和损伤预警的实现方法。
The reconstruction of vehicle random vibration signal under different vehicle speed and road conditions is realized in laboratory, based on an auto regressive moving average (ARMA) time series model.
基于自回归滑动平均模型(ARMA)的方法，实现了不同车速和路面条件下的随机振动信号的实验室再现。
In this paper, Auto Regressive model of metal content for specially monitored metals in lubricating oil monitoring system of aeroengine is built by the method of Time Series Analysis.
利用神经网络方法对某型航空发动机滑油监控系统中需重点监控的金属元素含量建立了网络，并根据该模型对其含量变化趋势进行了预测分析。
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