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Passive Acoustic Source Tracking Using Underwater distributed sensors

INTERNATIONAL JOURNAL OF distributed SENSOR NETWORKS 2013年第11期000卷 1-6页

作者： Chun, Seung-Yong Kim, Ki-Man Agcy Def Dev Chang Won 645600 South Korea Korea Maritime & Ocean Univ Dept Radio & Commun Engn Pusan 606791 South Korea

Passive acoustic source tracking using underwater distributed sensors has been a severe problem because of the complexity of the underwater channel and the limited resources of the sensors. In this paper, we propose an acoustic source tracking algorithm using underwater distributed sensors. According to the waveguide invariant theory, a slope of the interference pattern which is seen in a spectrogram is proportional to range of the acoustic source. The proposed algorithm matches the interference patterns at the distributed sensors and calculates a distance ratio between source and sensors. A locus of the source by the principal of the circle of Apollonius is estimated. The Apollonius circle, however, still keeps the ambiguity against the correct source location. In addition hyperbola equation is introduced into localization algorithm by estimating time difference of arrival between the received signals at the distributed sensors. Finally the cross point of the circle and hyperbola can be estimated as the position of the acoustic source. The proposed algorithm is tested on sea trial data for acoustic source ranges of 400-2,000 m and frequencies from 50 to 750 Hz. The results show that the proposed algorithm successfully estimates the source location within an error bound of 7.3%.

关键词： distributed sensors SPECTROGRAMS SOUND spectrography VOICEPRINTS WAVEGUIDES COAXIAL waveguides WAVEGUIDE theory

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Raman distributed temperature sensing for end winding of high-power generator

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IET OPTOELECTRONICS 2020年第6期14卷 343-349页

作者： de Pelegrin, Jesse Bazzo, Joao Paulo Dreyer, Uilian Jose Martelli, Cicero Pipa, Daniel Rodrigues da Silva, Erlon Vagner Cardozo da Silva, Jean Carlos Fed Univ Technol Parana UTFPR BR-80230901 Curitiba PR Brazil Engie Brasil Energia SA BR-85568000 Saudade Do Iguacu PR Brazil

The temperature on the busbars of electric generators in the end-winding region needs to be monitored continuously. High temperature is associated with curvatures, seams, and poor ventilation. However, this solution has limitations, such as the number of measurement points. This article presents a reconstruction algorithm to estimate high-resolution signals, from readings of a distributed temperature system for monitoring high-power generator bars. The purpose of this work is to measure the temperature in the end-winding region with optical sensors based on Raman distributed temperature sensing (RDTS). The ability of RDTS equipment to perform a measurement is limited by its spatial resolution of 1 m. The proposed algorithm reduces spatial resolution through signal processing without changing the equipment hardware. Through the experimental results, it was possible to perform accurate temperature measurements for lengths up to 15 cm using the sensor element. With this method, the final winding of a generator bar of a 355 MW hydroelectric plant was instrumented in the laboratory. The results show that it is possible to monitor the temperature over this region, which has a length of 45 cm. Therefore, the proposed method has the potential for the use of RDTS systems for temperature acquisition of small, medium, and large electrical machines.

关键词： temperature measurement temperature sensors distributed sensors optical sensors signal resolution hydroelectric generators machine windings signal reconstruction RDTS systems temperature acquisition Raman distributed temperature sensing electric generators end-winding region poor ventilation signal reconstruction algorithm high-resolution signals distributed temperature system high-power generator bars optical sensors RDTS equipment spatial resolution signal processing temperature measurements hydroelectric plant power 355 0 MW size 45 0 cm

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Fiber Optic distributed Sensing Network for Shape Sensing-Assisted Epidural Needle Guidance

BIOSENSORS-BASEL

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BIOsensors-BASEL 2021年第11期11卷 446页

作者： Amantayeva, Aida Adilzhanova, Nargiz Issatayeva, Aizhan Blanc, Wilfried Molardi, Carlo Tosi, Daniele Nazarbayev Univ Sch Engn & Digital Sci Nur Sultan 010000 Kazakhstan Univ Parma Dept Engn & Architecture Parco Area Sci 181-A I-43124 Parma Italy Univ Cote dAzur CNRS INPHYNI UMR7010 Ave Joseph Vallot F-06108 Nice France Natl Lab Astana Lab Biosensors & Bioinstruments Nur Sultan 010000 Kazakhstan

Epidural anesthesia is a pain management process that requires the insertion of a miniature needle through the epidural space located within lumbar vertebrae. The use of a guidance system for manual insertion can reduce failure rates and provide increased efficiency in the process. In this work, we present and experimentally assess a guidance system based on a network of fiber optic distributed sensors. The fibers are mounted externally to the needle, without blocking its inner channel, and through a strain-to-shape detection method reconstruct the silhouette of the epidural device in real time (1 s). We experimentally assessed the shape sensing methods over 25 experiments performed in a phantom, and we observed that the sensing system correctly identified bending patterns typical in epidural insertions, characterized by the different stiffness of the tissues. By studying metrics related to the curvatures and their temporal changes, we provide identifiers that can potentially serve for the (in)correct identification of the epidural space, and support the operator through the insertion process by recognizing the bending patterns.

关键词： fiber-optic shape sensors optical fiber sensor distributed sensors epidural anesthesia epidural needle smart surgical instruments

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Automatic machinery fault detection via using distributed sensor information

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INTERNET TECHNOLOGY LETTERS 2021年第3期4卷

作者： Chen, Hongbo Huo, Ying Xu, Yudong Jilin Inst Chem Technol 45 Chengde St Rd Jilin 132022 Jilin Peoples R China

It is critical in intelligent manufacturing that monitors devices to sustain normal status. Recently, the artificial intelligence-powered diagnosis is the key in smart monitoring process and has become a hot topic in the engineering field. In previous diagnostic methods, complete failure samples are the premise to activate the intelligent diagnostic model. However, the actual failures of the mechanical diagnostic are far more than that we can obtain under running state in advance. In order solve this issue, this paper adopts Generative Adversarial Networks (GAN) by using simulated data to obtain complete failure samples, which builds a bridge between artificial intelligent model and mechanical fault diagnostic system. In mechanical diagnostic system, we first use finite element simulation to generate the missing fault samples. The generated and existing fault samples are supplemented each other to construct complete failure samples. The complete failure samples are used as training set to train an intelligent model which is used to predict the status for future status of mechanical system. The status of mechanical system is represented as the signal from distributed sensors. The fault diagnostic system is verified on a public mechanical system dataset and the results demonstrate it is superior to previous ones.

关键词： distributed sensors fault diagnostic generative adversarial networks mechanical system

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Rayleigh scattering characterization of a low-loss MgO-based nanoparticle-doped optical fiber for distributed sensing

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OPTICS AND LASER TECHNOLOGY 2021年 133卷 106523-106523页

作者： Tosi, Daniele Molardi, Carlo Blanc, Wilfried Nazarbayev Univ Sch Engn & Digital Sci Nur Sultan 010000 Kazakhstan Natl Lab Astana Lab Biosensors & Bioinstruments Nur Sultan 010000 Kazakhstan Univ Cote dAzur INPHYNI CNRS UMR 7010 Parc Valrose F-06108 Nice France

We present the fabrication and characterization of a low-loss enhanced backscattering fiber, having the core doped with MgO-based nanoparticles (MgO-NP), for distributed sensing application. The fiber has a scattering increment of 48.9 dB and two-way attenuation of 14.3 dB/m;these are the largest Rayleigh scattering increment paired with the lowest losses for this type of fiber. In this work, we provide a thorough characterization of the fiber performances, and their impact on distributed sensing networks, using scattering-level multiplexing where a 2.4 - 4.0 times extension of sensing length can be achieved.

关键词： distributed sensors Rayleigh scattering Optical backscattering reflectometry (OBR) Nanoparticle-doped fiber Optical fiber

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Raman distributed temperature sensing for end winding of high-power generator

Raman distributed temperature sensing for end winding of hig...

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International Microwave and Optoelectronics Conference (IMOC)

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Environmental Condition Aware Data and Energy Economy Methodology in distributed Systems 6

Environmental Condition Aware Data and Energy Economy Method...

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6th International Conference on Mechatronics and Robotics Engineering

作者： Schlechter, Thomas Fischer, Johannes Univ Appl Sci Upper Austria Wels Austria Bosch Connected Devices & Solut GmbH Reutlingen Germany

ISBN: (纸本)9781728157405;9781728157399

distributed (im-)mobile sensor nodes are becoming more and more widespread and increase dramatically in number. The ever occurring problem is the efficient power supply: minimize energy to be stored (i.e., small battery size) versus enhance life-time - those are conflicting requirements which call for efficient energy management algorithms. In this paper we provide an overview on recent research in that field. Based on this review, we propose an algorithm which is self-learning, adaptive to environmental conditions, and update-able during run-time. The implementation can be a solution to various real world problems.

关键词： intelligent data rate selection IoT distributed sensors smart computing smart energy management

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A distributed Model for Stressors Monitoring Based on Environmental Smart sensors

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sensors 2018年第6期18卷 1935-1935页

作者： de Ramon-Fernandez, Alberto Ruiz-Fernandez, Daniel Marcos-Jorquera, Diego Gilart-Iglesias, Virgilio Univ Alicante Dept Comp Technol Alicante 03690 Spain

Nowadays, in many countries, stress is becoming a problem that increasingly affects the health of people. Suffering stress continuously can lead to serious behavioral disorders such as anxiety or depression. Every person, in his daily routine, can face many factors which can contribute to increase his stress level. This paper describes a flexible and distributed model to monitor environmental variables associated with stress, which provides adaptability to any environment in an agile way. This model was designed to transform stress environmental variables in value added information (key stress indicator) and to provide it to external systems, in both proactive and reactive mode. Thus, this value-added information will assist organizations and users in a personalized way helping in the detection and prevention of acute stress cases. Our proposed model is supported by an architecture that achieves the features above mentioned, in addition to interoperability, robustness, scalability, autonomy, efficient, low cost and consumption, and information availability in real time. Finally, a prototype of the system was implemented, allowing the validation of the proposal in different environments at the University of Alicante.

关键词： stress environmental stressors monitoring system distributed sensors

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distributed Shipborne HFHSSWR Localisation Method Based on Gaussian Markov Fields

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IET Radar, Sonar & Navigation 2025年第1期19卷

作者： Longyuan Xu Peng Tong Yinsheng Wei Mingkai Ding School of Electronics and Information Engineering Harbin Institute of Technology Harbin China Key Laboratory of Marine Environmental Monitoring and Information Processing Ministry of Industry and Information Technology Harbin China

This paper investigates a distributed shipborne high-frequency hybrid surface-surface wave radar (HFHSSWR) model that combines shared sky wave paths with distinct shipboard surface wave paths. This model improves target localisation accuracy and overcomes the limited aperture of a single shipboard array. A weighted least squares (WLS) positioning algorithm based on a Gaussian Markov random field (GMRF) is proposed for the model. The algorithm converts the geodetic coordinates of measurement stations to Cartesian coordinates, then estimates the initial target position using bistatic range (BR) and time difference of arrival (TDOA) measurements. An iterative refinement approach is employed to mitigate discrepancies between spherical and planar models, utilising ionospheric altitudes extrapolated through a GMRF for enhanced positioning accuracy. Finally, target coordinates are converted back to geodetic form. Simulations indicate that this approach achieves higher positioning accuracy than standard WLS positioning algorithm.

关键词： distributed sensors HF OTH radar HF radar multistatic radar position measurement

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Fiber-optic sensing for partial discharge acoustic detection on power cable joints

Fiber-optic sensing for partial discharge acoustic detection...

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22nd International Symposium on High Voltage Engineering (ISH 2021)

作者： H. Li J. Yang Y. Sheng W. Zhu S. Hou B. Feng K. Wang Power China Huadong Engineering Corporation Limited Hangzhou China Electric Power Research Institute China Southern Power Grid Guangzhou China

Fiber-optic acoustic sensors have been increasingly applied in the condition monitoring of power equipment for their high sensitivity and strong immunity to electromagnetic interference. The Sagnac fiber sensor system exhibits excellent sensitivity for the interferometric characteristics in the single-loop fiber route, while the phase-sensitive optical time-domain reflectometry (Φ-OTDR) sensor system has great potential in long-distance distributed detection. In this paper, the performance of the two sensor systems was discussed on the partial discharge acoustic detection in power cable joints and compared with the conventional piezoelectric sensor. The acoustic signal characteristics of the two fiber-optic systems and the piezoelectric sensor were compared in terms of the signal-to-noise ratio (SNR) and frequency spectrum. The results showed that all three acoustic sensors could successfully detect the partial discharges caused by the defect within the cable joint, in terms of SNR, among which the Sagnac sensor system was the optimal as expected, and the piezoelectric sensor was superior to the Φ-OTDR sensor system. Nevertheless, the Φ-OTDR system realized the fault location of the partial discharge induced by the cable joint defect which is of great significance for the distributed detection.

关键词： condition monitoring distributed sensors electromagnetic interference fault location fibre optic sensors optical time-domain reflectometry partial discharges power cables Sagnac interferometers

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