Phase-sensitive optical time-domain reflectometry with Brillouin amplification

Wang, Zinan; Li, J.; Fan, Mengqiu; Zhang, L.; Peng, Fei; Zeng, Jiajia; Zhou, Yi; Rao, Yunjiang

doi:10.1364/ol.39.004313

Cited by 98 publications

(44 citation statements)

References 9 publications

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“…As described in [24], fiber optic distributed acoustic sensing with phase-sensitive optical time-domain reflectometer (φ-OTDR) technology shows good performance for long perimeter monitorization aiming to detect potential threats or intruders on the ground [3,[28][29][30][31], or vibration in general [4,[32][33][34][35][36][37][38][39].…”

Section: Distributed Acoustic Sensing and Pattern Recognition Systemsmentioning

confidence: 99%

Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review

Tejedor

Macías-Guarasa

Martins³

et al. 2017

Applied Sciences

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Abstract:There is an increasing interest in researchers and companies on the combination of Distributed Acoustic Sensing (DAS) and a Pattern Recognition System (PRS) to detect and classify potentially dangerous events that occur in areas above fiber optic cables deployed along active pipelines, aiming to construct pipeline surveillance systems. This paper presents a review of the literature in what respect to machine learning techniques applied to pipeline surveillance systems based on DAS+PRS (although its scope can also be extended to any other environment in which DAS+PRS strategies are to be used). To do so, we describe the fundamentals of the machine learning approaches when applied to DAS systems, and also do a detailed literature review of the main contributions on this topic. Additionally, this paper addresses the most common issues related to real field deployment and evaluation of DAS+PRS for pipeline threat monitoring, and intends to provide useful insights and recommendations in what respect to the design of such systems. The literature review concludes that a real field deployment of a PRS based on DAS technology is still a challenging area of research, far from being fully solved.

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Section: Distributed Acoustic Sensing and Pattern Recognition Systemsmentioning

confidence: 99%

Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review

Tejedor

Macías-Guarasa

Martins³

et al. 2017

Applied Sciences

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“…1. The purpose of this work is not to improve the sensing performance of -OTDR, so a conventional -OTDR is used though new schemes of -OTDR have much better performance [6]- [9]. A narrow linewidth (∼3kHz) semiconductor laser with maximum power of 12.7dBm is used, which has a very small frequency drift (<1MHz/min) and modulated with pulse repetition rate of 1kHz and pulse width of 200ns, corresponding to a spatial resolution of 20m, by using an acoustic-optic modulator (AOM).…”

Section: Experimental Systemmentioning

confidence: 99%

“…−OTDR is becoming mature and has been used for monitoring long distance vibration and multi-point intrusion simultaneously [4]- [9].…”

Section: Introductionmentioning

confidence: 99%

“…Phase of the RS light traveling in the fiber is modulated by the vibration applied to the fiber. After sampling pairs of RS traces, the vibration can be demodulated by analyzing the changes of phase [4] or only the intensity of RS [5]- [9]. If the fiber is buried parallel to the railway, the position of the train can be determined by locating the vibration source, and the speed of the train can be further calculated from the results of positioning.…”

Section: Introductionmentioning

confidence: 99%

“…These features make the position and speed monitoring of trains feasible. Compared with the present track circuit method, the advantages of using -OTDR are very obvious: firstly, both sensing and signal transmission are completely passive over the whole monitoring range, unlike the track circuit which may be damaged under inclement weather; Secondly, the position and speed of trains could be monitored continuously over >100km with a location accuracy of <10m [8], [9].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Real-Time Position and Speed Monitoring of Trains Using Phase-Sensitive OTDR

Peng

Duan

Rao

et al. 2014

IEEE Photon. Technol. Lett.

238

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It is essential to carry out real-time position and speed monitoring of trains to ensure the safety of railway operation. In this letter, the phase-sensitive optical-time-domain reflectometry ( -OTDR) is demonstrated to overcome the drawbacks of the track circuit, which is widely used and has the risk to be damaged by lightening, for the first time. A long sensing cable, buried nearby to two parallel railways, is used to detect the vibration signals generated by trains with -OTDR and the realtime vibration signals of the trains are extracted/quantified by wavelet denoising. With the edge detection by normalized sliding variance, the operation status of two nearby trains, including their relative position and speed, are obtained over a 10.2-km measurement length in real time. This letter offers a new passive way for safety monitoring of railway operation.Index Terms-Optical fiber sensor, optical time-domain reflectometry (OTDR), railway safety, vibration measurement.

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Pattern recognition based on enhanced multifeature parameters for vibration events in φ‐OTDR distributed optical fiber sensing system

Guan

Bao

et al. 2017

Micro & Optical Tech Letters

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from the manufacturer's datasheet values are considered as expected and are attributed to the fact that the measurements of the RFID ASIC were conducted on the terminal pads of the strap, which included conductive adhesive. Finally, the input impedance measurement of an RFID tag antenna onto 3 different material surfaces was conducted and the return loss was extracted for every case. The results, are evaluated largely as expected, as the input impedance of the tag antenna was measured and characterized close enough to the conjugate impedance of the RFID strap for the first 2 cases, whereas a large degradation was found for the third case measurement of the filled with water glass container. These results validate the importance of the work of antenna designers and justify the development of application-specific RFID tags when they are used with different objects. Moreover, the presented results and methodology can be a useful toolkit for the RFID design and test engineer, and of particular usefulness as a guide for accurate measurements using imperfect test fixtures. ACKNOWLEDGMENTThe authors want to thank Professor J. Sahalos for the provision of RFID tags and his valuable help and comments for this work. ORCID D. E. Anagnostou

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Phase-sensitive optical time-domain reflectometry with Brillouin amplification

Cited by 98 publications

References 9 publications

Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review

Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review

Real-Time Position and Speed Monitoring of Trains Using Phase-Sensitive OTDR

Pattern recognition based on enhanced multifeature parameters for vibration events in φ‐OTDR distributed optical fiber sensing system

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