Highly Sensitive FBG based Tilt Sensor Using PM-IM Conversion and EFD Interrogation Technique

倾斜仪 光纤布拉格光栅 线性 材料科学 光学 灵敏度(控制系统) 光纤 倾斜(摄像机) 探测器 倾斜感应器 强度调制 电子工程 声学 相位调制 工程类 物理 相位噪声 机械工程 地图学 地理
作者
Abhinav Gautam,Amitesh Kumar
出处
期刊:IEEE Transactions on Instrumentation and Measurement [Institute of Electrical and Electronics Engineers]
卷期号:: 1-1 被引量:2
标识
DOI:10.1109/tim.2022.3172430
摘要

Tilt sensors are essential measurement devices to identify the degree of deviation from the reference plane. They are extensively employed in underground drilling, level determination for instrumentation and mechanical guiding, geophysical observation, biomedical research etc. Fiber Bragg Gratings (FBG) based inclinometers have marked their presence due to their superior performance and ability to work under harsh conditions than their electronic counterparts as well as other fiber optic sensors. FBG based inclinometers require optical spectrum analyzers and interrogators for observing wavelength encoded data. Due to limited resolution of these equipment, it is difficult to develop an inclinometer with very high sensitivity and resolution. Hence, an interrogation technique that utilizes edge filter detection and phase modulation to intensity modulation (PM-IM) conversion phenomena is used to develop an inclinometer with higher sensitivity and accuracy. A detailed theoretical discussion along with its experimental validation is conducted in this manuscript. The proposed system is simple in design and easy to implement, with a very high resolution of 0.00072° and an accuracy of 0.083°. The results have shown a high degree of linearity in a particular sensing range with good repeatability, making the system a reliable candidate for industrial applications.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
华仔应助tang008采纳,获得10
刚刚
刚刚
闪闪婴发布了新的文献求助10
1秒前
鱼鱼鱼完成签到,获得积分10
1秒前
eleven发布了新的文献求助10
2秒前
2秒前
漪涙应助九星传人采纳,获得10
3秒前
研友_ZrBNxZ发布了新的文献求助10
3秒前
4秒前
无心的紫山完成签到,获得积分10
5秒前
单于访枫发布了新的文献求助30
6秒前
小马甲应助ruby采纳,获得10
6秒前
6秒前
6秒前
一支梦笔完成签到,获得积分10
7秒前
7秒前
7秒前
8秒前
8秒前
8秒前
diyanbruker发布了新的文献求助10
9秒前
9秒前
9秒前
Wenky发布了新的文献求助30
10秒前
张靖雯发布了新的文献求助10
10秒前
10秒前
11秒前
11秒前
11秒前
sdvsvsdvd发布了新的文献求助10
11秒前
鸡蛋酱完成签到 ,获得积分10
11秒前
华仔应助chen采纳,获得10
12秒前
稳重的东蒽完成签到,获得积分10
12秒前
13秒前
MeiyanZou发布了新的文献求助10
13秒前
Minn完成签到,获得积分10
13秒前
14秒前
14秒前
14秒前
nb发布了新的文献求助10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6442992
求助须知:如何正确求助?哪些是违规求助? 8256980
关于积分的说明 17584489
捐赠科研通 5501550
什么是DOI,文献DOI怎么找? 2900761
邀请新用户注册赠送积分活动 1877782
关于科研通互助平台的介绍 1717445