一个被动的梯形FBG传感器网络,使用时间和波长划分多重复合来检测故障
1Department of Physics, School of Science, Kitasato University, Sagamihara 252-0373, Kanagawa, Japan.
Sensors (Basel, Switzerland)
|July 30, 2025
概括
这项研究提出了一种用于同时询问多个纤维布拉格格 (FBG) 传感器的新方法. 该技术提高了信号清晰度,并评估传感器网络中的故障检测.
科学领域:
- 光学工程是指光学工程.
- 传感器技术 传感器技术
- 光子学 是一个光子学.
背景情况:
- 纤维布拉格格 (FBG) 传感器对于各种监控应用至关重要.
- 在单一光纤中多重复合多个FBG,提高了系统效率.
- 区分来自多重传感器的信号,特别是在复杂的拓中,仍然是一个挑战.
研究的目的:
- 开发和评估一种用于同时查询多重FBG传感器的方法.
- 为了改善弱反射信号的信号噪声比.
- 评估拟议的传感器询问系统的故障检测能力.
主要方法:
- 实现一个梯子拓,用于复合纤维布拉格格传感器.
- 采用时间和波长分割多重复合用于同时审讯.
- 采用异质检测来增强反射信号的信号噪声比.
- 模拟故障情况以评估故障检测.
主要成果:
- 证明了成功地对7个FBG进行了同时审讯.
- 异质基检测技术显著改善了信号噪声比.
- 通过模拟来评估系统的故障检测能力.
结论:
- 拟议的方法使多重FBG传感器的有效和可靠的查询成为可能.
- 该系统对需要故障耐受性的强大监控应用具有前景.
- 进一步的研究可以探索这种技术的可扩展性和现实世界的部署.
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