Research on wavelet analysis for pipeline pre-warning system based on phase-sensitive optical time domain reflectometry

Shi, Yi; Feng, Hao; An, Yang; Feng, Xin; Zeng, Zhoumo

doi:10.1109/aim.2014.6878241

Cited by 9 publications

(2 citation statements)

References 9 publications

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“…These will make the DTS monitor the temperature of the cable more effectively [20][21][22][23]. Moreover, through the feature extraction and analysis of the vibration signal along the optical fiber, the security status of the cable can be monitored in real time, and the cable intrusion prevention alarm system based on the phase-sensitive optical time domain reflection (Φ-OTDR) technology can be established [24,25].…”

Section: Introductionmentioning

confidence: 99%

Research on Temperature Monitoring Method of Cable on 10 kV Railway Power Transmission Lines Based on Distributed Temperature Sensor

2021

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Railway power transmission lines (RPTL) are power lines that provide nontraction power supply for railways, such as communications and signals along the railway. With the advancement of technology, power cables are being used more and more widely. Operational experience has shown that during the operation of power cables, abnormal heat is often caused by fault factors such as poor joint crimping and severe partial discharge caused by insulation defects, leading to cable burns in extreme cases. Distributed temperature sensors (DTS), a kind of spatial continuous temperature sensor using sensing optical fiber, can measure the temperature along the cable and are expected to realize on-line monitoring and positioning of cable heating faults. This paper first builds a finite element model of the cable under various faults to calculate the distribution characteristics of the temperature field of the faulty cable. Then the results are verified through experiments with the external sensing fiber and the artificially manufactured heating points of the cable. The conclusions show that it is feasible to use a distributed sensing fiber to monitor and locate the heating fault of power cable.

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Section: Introductionmentioning

confidence: 99%

Research on Temperature Monitoring Method of Cable on 10 kV Railway Power Transmission Lines Based on Distributed Temperature Sensor

2021

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“…The optical fiber pre-warning system (OFPS) is often used for disasters occurrence monitoring such as oil and gas pipeline leakage, and it is mainly used for detection and recognition of intrusion source [5,6]. Some documents proposed they found an effective way to set the soft or hard thresholds for every point along the fiber adaptively to improve the signal-to-noise ratio (SNR) [7,8]. With different background noises, the constant false alarm rate (CFAR) algorithm is exploited to achieve an optimal adaptive threshold detection [9,10].…”

Section: Introductionmentioning

confidence: 99%

RVFL-Based Optical Fiber Intrusion Signal Recognition With Multi-Level Wavelet Decomposition as Feature

et al. 2018

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The optical fiber pre-warning system (OFPS) has been gradually considered as one of the important means for pipeline safety monitoring. Intrusion signal types are correctly identified which could reduce the cost of troubleshooting and maintenance of the pipeline. Most of the previous feature extraction methods in OFPS are usually quested from the view of time domain. However, in some cases, there is no distinguishing feature in the time domain. In the paper, firstly, the intrusion signal features of the running, digging, and pick mattock are extracted in the frequency domain by multi-level wavelet decomposition, that is, the intrusion signals are decomposed into five bands. Secondly, the average energy ratio of different frequency bands is obtained, which is considered as the feature of each intrusion type. Finally, the feature samples are sent into the random vector functional-link (RVFL) network for training to complete the classification and identification of the signals. Experimental results show that the algorithm can correctly distinguish the different intrusion signals and achieve higher recognition rate.

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Detection and recognition of mechanical, digging and vehicle signals in the optical fiber pre-warning system

Tian

Yang

Yuan

et al. 2018

Optics Communications

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Research on wavelet analysis for pipeline pre-warning system based on phase-sensitive optical time domain reflectometry

Cited by 9 publications

References 9 publications

Research on Temperature Monitoring Method of Cable on 10 kV Railway Power Transmission Lines Based on Distributed Temperature Sensor

Research on Temperature Monitoring Method of Cable on 10 kV Railway Power Transmission Lines Based on Distributed Temperature Sensor

RVFL-Based Optical Fiber Intrusion Signal Recognition With Multi-Level Wavelet Decomposition as Feature

Detection and recognition of mechanical, digging and vehicle signals in the optical fiber pre-warning system

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