The Development of an &lt;inline-formula&gt; &lt;tex-math notation="LaTeX"&gt;$\Phi $ &lt;/tex-math&gt;&lt;/inline-formula&gt;-OTDR System for Quantitative Vibration Measurement

Tu, Guojie; Zhang, Xuping; Zhang, Yixin; Zhu, Fan; Xia, Lan; Nakarmi, Bikash

doi:10.1109/lpt.2015.2421354

Cited by 151 publications

(21 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The phase information along the fibre is then measured in the electrical domain using a phase detection circuit. The experimental results, demonstrated by Tu et al, 24 showed that this sensing technique is capable of spatially resolving 80 Hz dynamic strains along 25 km of sensing fibre with a spatial resolution of 10 m and a strain range of 400 nε.…”

Section: A Optical Time Domain Reflectometry (Otdr)mentioning

confidence: 95%

Contributed Review: Distributed optical fibre dynamic strain sensing

Masoudi

Newson

2016

Review of Scientific Instruments

214

View full text Add to dashboard Cite

Extensive research on Brillouin- and Raman-based distributed optical fibre sensors over the past two decades has resulted in the commercialization of distributed sensors capable of measuring static and quasi-static phenomena such as temperature and strain. Recently, the focus has been shifted towards developing distributed sensors for measurement of dynamic phenomena such as dynamic strain and sound waves. This article reviews the current state of the art distributed optical fibre sensors capable of quantifying dynamic vibrations. The most important aspect of Rayleigh and Brillouin scattering processes which have been used for distributed dynamic measurement are studied. The principle of the sensing techniques used to measure dynamic perturbations are analyzed followed by a case study of the most recent advances in this field. It is shown that the Rayleigh-based sensors have longer sensing range and higher frequency range, but their spatial resolution is limited to 1 m. On the other hand, the Brillouin-based sensors have shown a higher spatial resolution, but relatively lower frequency and sensing ranges.

show abstract

Section: A Optical Time Domain Reflectometry (Otdr)mentioning

confidence: 95%

Contributed Review: Distributed optical fibre dynamic strain sensing

Masoudi

Newson

2016

Review of Scientific Instruments

214

View full text Add to dashboard Cite

show abstract

“…After selecting the best signal for phase extraction, the rest of the work will be similar to the normal Φ-OTDR system. We must subtract the phase of column A from column B and then extract the phase with this result [26,31]. After extracting the phase signal, we apply a high-pass filter to eliminate possible offsets in the phase signal and to place different phase signals at the same level from different frequencies.…”

Section: Continuous Fading Effect Suppression Methods For φ-Otdr Systementioning

confidence: 99%

“…Because the reason is that the position of the fading area is different from independent detection frequencies. It has been shown that the position of the fading point varies with the drift of the laser center frequency [26]. When an external vibration is exerted on the fiber, it causes additional stress on the fiber and results in a length change.…”

Section: Signal Degradation Induced By Fadingmentioning

confidence: 99%

Performance Enhancement Methods for the Distributed Acoustic Sensors Based on Frequency Division Multiplexing

Meng

Zabihi

et al. 2019

Electronics

Self Cite

View full text Add to dashboard Cite

The last years have witnessed the wide application of Distributed Acoustic Sensor (DAS) systems in several fields, such as submarine cable monitoring, seismic wave detection, structural health monitoring, etc. Due to their distributed measurement ability and high sensitivity, DAS systems can be employed as a promising tool for the phase sensitive optical time domain reflectometry (Φ-OTDR). However, it is also well-known that the traditional Φ-OTDR system suffers from Rayleigh backscattering (RBS) fading effects, which induce dead zones in the measurement results. Worse still, in practice it is difficult to achieve the optimum matching between spatial resolution (SR) and signal to noise ratio (SNR). Further, the overall frequency response range (FRR) of the traditional Φ-OTDR is commonly limited by the length of the fiber in order to prevent RBS signals from overlapping with each other. Additionally, it is usually difficult to reconstruct high frequency vibration signals accurately for long range monitoring. Aiming at solving these problems, we introduce frequency division multiplexing (FDM) that makes it easier to improve the system performance with less system structure changes. We propose several novel Φ-OTDR schemes based on Frequency Division Multiplexing (FDM) technology to solve the above problems. Experimental results showed that the distortion induced by fading effects could be suppressed to 1.26%; when the SR of Φ-OTDR is consistent with the length of the vibration region, the SNR of the sensing system is improved by 3 dB compared to the average SNR with different SRs; vibration frequencies up to 440 kHz have been detected along 330 m artificial microstructures. Thus, the proposed sensing system offers a promising solution for the performance enhancement of DAS systems that could achieve high SNR, broadband FRR and dead zone-free measurements at the same time.

show abstract

“…A distributed optical fiber sensor for temperature monitoring has been invested in for the past thirty years due to its distinctive advantages of immune to electromagnetic interference, small size and resistance to ionizing radiation. It can operate safely in hazardous environment, with a fast response, corrosion resistance and is intrinsically safe [1,2,3,4]. The Raman distributed temperature sensor (RDTS) has been widely used in various infrastructures such as smart grids, oil well monitoring and fire alarm systems [5,6].…”

Section: Introductionmentioning

confidence: 99%

Raman Distributed Temperature Sensor with Optical Dynamic Difference Compensation and Visual Localization Technology for Tunnel Fire Detection

Yan

Zhang

et al. 2019

Sensors

View full text Add to dashboard Cite

The field of tunnel fire detection requires a Raman distributed temperature sensor (RDTS) with high-accuracy and visual localization. A novel temperature demodulation method to improve the temperature measurement accuracy of the RDTS systems is presented. This method is based on the optical dynamic difference compensation algorithm, which can eliminate the optical power fluctuation. In addition, the visual localization technology is presented by using the longitudinal lining model (LLM) of a three-dimensional (3D) temperature display, which enhances the engineering application of RDTS in tunnel fire detection. Experimental results indicate that the temperature measurement accuracy is optimized from 7.0 °C to 1.9 °C at the sensing distance of 18.27 km by using the presented method. We provide a solution for temperature field monitoring as well as fire visual localization of the tunnel through RDTS systems.

show abstract

The Development of an <inline-formula> <tex-math notation="LaTeX">$\Phi $ </tex-math></inline-formula>-OTDR System for Quantitative Vibration Measurement

Cited by 151 publications

References 10 publications

Contributed Review: Distributed optical fibre dynamic strain sensing

Contributed Review: Distributed optical fibre dynamic strain sensing

Performance Enhancement Methods for the Distributed Acoustic Sensors Based on Frequency Division Multiplexing

Raman Distributed Temperature Sensor with Optical Dynamic Difference Compensation and Visual Localization Technology for Tunnel Fire Detection

Contact Info

Product

Resources

About