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滑动窗限制了压缩机振动数据的耐故障过

Shaolin Hu¹, Xianxi Chen¹, Guo Xi Sun¹

¹Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming, People's Republic of China.

Royal Society open science

|August 14, 2025

概括

这项研究引入了一种新的滑窗故障耐受选方法,用于石化仪器仪表数据. 该技术有效过噪声和异常值,提高工业应用中的数据准确性和可靠性.

科学领域:

石油化工仪器仪表的使用
信号处理信号处理
容错系统容错系统

背景情况:

石化仪器产生时间序列数据易受噪声和异常值的影响.
现有的过方法可能会在复杂的噪声模式和故障耐受性方面扎.

研究的目的:

为了开发一个强大的滑动窗,限制了容错的过方法.
提高石油化学过程中采样数据的准确性和可靠性.

主要方法:

一个移动窗口约束函数应用于时间序列数据.
生成平滑估计,并用于导出差异序列.
差异系列经历了进一步的平滑,以获得补偿.

主要成果:

拟议的方法在滑动平均值,中位数和Savitzky-Golay过器上表现出卓越的性能.
有效地过随机错误并减少异常值的影响.
在噪音的存在下保存真实数据变异.

结论:

滑窗受约束的容错过方法为石化仪器仪表数据提供了更高的准确性.
该技术表现出强大的故障耐受性和降噪能力.
它适用于处理噪音和异常污染的时间序列数据.

关键词:

耐故障过器过器高保真度的高保真度可以使用.不平滑的序列不是一个顺序.异常价值观是异常的异常价值观随机错误随机错误是一个错误.

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