Recent Progress in the Performance Enhancement of Phase-Sensitive OTDR Vibration Sensing System

Zinsou, Romain; Liu, Xin; Wang, Yu; Zhang, Jianguo; Wang, Yuncai; Jin, Baoquan

doi:10.20944/preprints201903.0037.v1

2019

DOI: 10.20944/preprints201903.0037.v1

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Recent Progress in the Performance Enhancement of Phase-Sensitive OTDR Vibration Sensing System

Romain Zinsou¹,

Xin Liu²,

Yu Wang³

et al.

Abstract: Recently, the phase-sensitive OTDR (Φ-OTDR) based vibration sensor system has gained the focus of many researchers and some efforts have been undertaken to push further the limitations imposed on the performance of the Φ-OTDR sensor system. Then, progress in the different areas of its performance evaluation factors such as: improvement of the signal-to-noise ratio (SNR), spatial resolution (SR) in the sub-meter range, enlargement of the sensing range, frequency response bandwidth over the conve… Show more

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Cited by 6 publications

References 41 publications

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Defect Recognition in Ballastless Track Structures Based on Distributed Acoustic Sensors

He,

Qing,

2023

Applied Sciences

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Defect recognition in ballastless track structures, based on distributed acoustic sensors (DASs), was researched in order to improve detection efficiency and ensure the safe operation of trains on high-speed railways. A line in southern China was selected, and equipment was installed and debugged to collect the signals of trains and events along it. Track vibration signals were extracted by identifying a train track, denoising, framing and labeling to build a defect dataset. Time–frequency-domain statistical features, wavelet packet energy spectra and the MFCCs of vibration signals were extracted to form a multi-dimensional vector. An XGBoost model was trained and its accuracy reached 89.34%. A time-domain residual network (ResNet) that would expand the receptive field and test the accuracies obtained from convolution kernels of different sizes was proposed, and its accuracy reached 94.82%. In conclusion, both methods showed a good performance with the built dataset. Additionally, the ResNet delivered more effective detection of DAS signals compared to conventional feature engineering methods.

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Defect Recognition in Ballastless Track Structures Based on Distributed Acoustic Sensors

He,

Qing,

2023

Applied Sciences

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Fiber Optic Based Distributed Mechanical Vibration Sensing

Novotný

Sysel

Prokeš

et al. 2021

Sensors

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The distributed long-range sensing system, using the standard telecommunication single-mode optical fiber for the distributed sensing of mechanical vibrations, is described. Various events generating vibrations, such as a walking or running person, moving car, train, and many other vibration sources, can be detected, localized, and classified. The sensor is based on phase-sensitive optical time-domain reflectometry (ϕ-OTDR). Related sensing system components were designed and constructed, and the system was tested both in the laboratory and in the real deployment, with an 88 km telecom optical link, and the results are presented in this paper. A two-fiber sensor unit, with a double-sensing range was also designed, and its scheme is described. The unit was constructed and the initial measurement results are presented.

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Distributed Acoustic Sensing Based on Coherent Microwave Photonics Interferometry

Hua

Zhu

Cheng

et al. 2021

Sensors

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A microwave photonics method has been developed for measuring distributed acoustic signals. This method uses microwave-modulated low coherence light as a probe to interrogate distributed in-fiber interferometers, which are used to measure acoustic-induced strain. By sweeping the microwave frequency at a constant rate, the acoustic signals are encoded into the complex microwave spectrum. The microwave spectrum is transformed into the joint time–frequency domain and further processed to obtain the distributed acoustic signals. The method is first evaluated using an intrinsic Fabry Perot interferometer (IFPI). Acoustic signals of frequency up to 15.6 kHz were detected. The method was further demonstrated using an array of in-fiber weak reflectors and an external Michelson interferometer. Two piezoceramic cylinders (PCCs) driven at frequencies of 1700 Hz and 3430 Hz were used as acoustic sources. The experiment results show that the sensing system can locate multiple acoustic sources. The system resolves 20 nε when the spatial resolution is 5 cm. The recovered acoustic signals match the excitation signals in frequency, amplitude, and phase, indicating an excellent potential for distributed acoustic sensing (DAS).

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Recent Progress in the Performance Enhancement of Phase-Sensitive OTDR Vibration Sensing System

Cited by 6 publications

References 41 publications

Defect Recognition in Ballastless Track Structures Based on Distributed Acoustic Sensors

Defect Recognition in Ballastless Track Structures Based on Distributed Acoustic Sensors

Fiber Optic Based Distributed Mechanical Vibration Sensing

Distributed Acoustic Sensing Based on Coherent Microwave Photonics Interferometry

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