基于希尔伯特-黄变换的瓦斯特征信号处理研究

摘要

Through the study of the actual situation of gas data in coal mine, gas data is detected by analysis method of Hilbert-Huang Transform, this paper refers to instantaneous concentration time, selects appropriate, scientific and reasonable method to forecast, making the final prediction more persuasive and simplifying prediction process, so as to quickly preprocess the gas monitoring information and accurately and scientifically provide effective theoretical basis for future prediction of gas concentration.%通过研究煤矿中瓦斯数据信息的实际情况,在检测瓦斯数据时采用希尔伯特-黄变换分析法,参考浓度时间瞬性,选取比较科学合理的方式来完成预测,使最后的预测更加有说服力,起到简化预测流程的目的,能够快捷地进行瓦斯监测信息预处理,为更准确科学地预测瓦斯浓度提供有效理论基础.