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相关实验视频

Updated: Jul 5, 2025

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures

Published on: September 2, 2019

一种改进的光谱减去方法,用于消除在使用纤维布拉格格网传感器的状态监测系统中的添加噪声.

Qi Liu^1,2, Yongchao Yu^1,2, Boon Siew Han^1,2

¹Schaeffler Hub for Advanced Research at NTU, 61 Nanyang Dr, ABN-B1b-11, Singapore 637460, Singapore.

Sensors (Basel, Switzerland)

|January 23, 2024

概括

这项研究引入了一种改进的光谱减去方法,以消除纤维Bragg格传感器系统中的噪声. 新技术有效地消除了白色高斯噪声和多频干扰,以更好地诊断旋转机械故障.

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科学领域:

机械工程机械工程
传感器技术传感器技术
信号处理信号处理

背景情况:

旋转机械的状态监测依赖于像纤维布拉格格 (FBG) 这样的传感器.
添加噪声,包括白色高斯噪声和多频干扰,降低了FBG传感器数据质量.
现有的光谱减去方法与多频干扰作斗争,并保留有用的信号组件.

研究的目的:

提出一种改进的光谱减去 (ISS) 方法,用于在基于FBG的条件监测中增强无声化.
为了解决标准光谱减法在消除复杂噪声方面的局限性.
为了保持信号完整性,同时去除噪声,以实现准确的故障诊断.

主要方法:

开发了一种利用在没有工作负载下测量的参考噪声信号的ISS方法.
采用滑窗方法将功率频谱划分为频段.
修改了光谱减去公式,以改善噪声估计和信号保存.

主要成果:

使用FBG传感器测试装置进行模拟分析和实验验证.
国际空间站方法在同时消除白色高斯噪声和多频干扰方面表现出有效性.
提出的方法成功地保存了对于故障诊断至关重要的基本信号信息.

关键词:

添加噪声的增加噪声.状态监控状态监控状态监控纤维布拉格格格子传感器传感器信号处理信号处理信号处理减去光谱的减去.

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A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

Writing Bragg Gratings in Multicore Fibers

Writing Bragg Gratings in Multicore Fibers

Published on: April 20, 2016

相关实验视频

Last Updated: Jul 5, 2025

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures

Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures

Published on: September 2, 2019

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

Writing Bragg Gratings in Multicore Fibers

Writing Bragg Gratings in Multicore Fibers

Published on: April 20, 2016

结论:

对于FBG传感器数据,ISS方法比标准光谱减法提供了显著的改进.
这种技术提高了旋转机械状态监测和故障诊断的可靠性.
国际空间站方法对于需要强大的降噪的现实应用是有效和可行的.