解调
质心
振动
计算机科学
光纤布拉格光栅
噪音(视频)
亚像素渲染
算法
信号(编程语言)
声学
电子工程
瓶颈
信噪比(成像)
动态范围
航程(航空)
光学
信号处理
反射(计算机编程)
快速傅里叶变换
高动态范围
准确度和精密度
控制理论(社会学)
背景噪声
自适应算法
摘要
To overcome the real-time performance bottleneck and noise susceptibility of conventional fiber Bragg grating (FBG) vibration sensor demodulation methods in high-speed dynamic measurements, this work proposes a high-speed demodulation algorithm incorporating dynamic threshold adaptation and subpixel centroid localization. The method dynamically optimizes reflection spectrum threshold intervals through an adaptive adjustment mechanism while implementing enhanced centroid calculation for wavelength shift determination. Experimental validation demonstrates that the proposed demodulation method achieves high-precision measurement of FBG vibration signals across varying frequencies and amplitudes, demonstrating 1 pm resolution at 6 kHz demodulation speed within the spectral range of 1525–1570 nm. This methodology establishes an effective technical framework for high-speed vibration monitoring in rotating machinery systems.
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