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IEEE Instrumentation and measurement technology Conference

作者： M. Neumayer T. Bretterklieber Institute of Electrical Measurement and Sensor Systems Graz University of Technology Graz Austria

ISBN: (数字)9781728144603

ISBN: (纸本)9781728144610

Online signal denoising refers to a digital filtering techniques in order to estimate a signal s[n] from the noisy signal x[n] = s[n] + v[n], where v[n] is noise. Standard filtering techniques lead to a time delay of the signal estimate ŝ[n], which is caused by the group delay of the filter. Wiener filtering is one possible way to reduce this delay. The design of a Wiener filter requires a statistical model of the signal s[n] and the measurement noise v[n]. The noise model can be determined by means of signal analysis of the measurement noise v[n]. The modeling of the signal s[n] on the other hand requires more dedicated analysis. This makes the application of this filter less practicable. In this paper a design methodology for Wiener filters is presented. The modeling of the signal is done by means of the signal bandwidth, hence the design effort is equal to the design of a standard digital filter. Also the same design tools, e.g. a filter design methods, can be used. The performance of the approach is presented by means of simulation studies and a measurement example.

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Model Based Compensation of Thermal Drifts for Multi Electrode Capacitive Sensing

Model Based Compensation of Thermal Drifts for Multi Electro...

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IEEE Instrumentation and measurement technology Conference

作者： T. Suppan M. Neumayer T. Bretterklieber H. Wegleiter Institute of Electrical Measurement and Sensor Systems Graz University of Technology Graz Austria

ISBN: (数字)9781728144603

ISBN: (纸本)9781728144610

Capacitive sensing has become a favourable measurement technology for industrial applications. A main advantage of capacitive sensors is the contactless working principle, which enables capacitive sensors for the application in industrial processes with harsh environmental conditions. Multi electrode capacitive sensing is used to obtain information about objects in a region of interest. This requires dedicated model based signal processing techniques and accurate physical models of the measurement process. Industrial processes often entail high temperatures, which leads to thermal drifts of the material values and to thermal expansions within the sensor front end. In order to draw reliable conclusions about the quantities of interest, these effects have to be taken into account. In this paper we present a model based temperature compensation approach for capacitive multi electrode structures, which considers temperature related permittivity changes as well as structural displacements due to thermal expansions to reduce the impact of thermal drifts. The proposed approach is validated on the example of an electrical capacitance tomography sensor.

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Fibre Optical Ice Sensing: sensor Model and Icing Experiments for Different Ice Types

Fibre Optical Ice Sensing: Sensor Model and Icing Experiment...

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IEEE Instrumentation and measurement technology Conference

作者： A. Siegl M. Neumayer T. Bretterklieber Institute of Electrical Measurement and Sensor Systems Graz University of Technology Graz Austria

ISBN: (数字)9781728144603

ISBN: (纸本)9781728144610

Atmospheric ice growth can be a potential hazard for structures like high-voltage lines, wind turbines or antennas in alpine regions. Fibre optical ice sensing is a possible approach to detect and monitor ice accretion. The sensing principle is based on the optical coupling between individual glass fibre bundles due to the accreted ice. Recent publications show the feasibility of ice monitoring with this approach by means of experimental studies. In this paper the properties and capabilities of fibre optical sensing for ice detection and thickness measurement are investigated by means of sensor modelling and sensor simulation, as well as dedicated measurements using a prototype. A new sensor model is developed, which includes all relevant interactions between the sensor and the ice accretion process. Simulations for different ice types are performed where the random nature of the ice accretion process is considered. By means of the measurements, the simulation results are verified and the sensor can be assessed for different types of ice regarding its capabilities to detect early ice formation and to measure the ice thickness.

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Feasibility Evaluation of Optoelectronic Strain measurement for Flywheel Rotors

Feasibility Evaluation of Optoelectronic Strain Measurement ...

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IEEE Instrumentation and measurement technology Conference

作者： Matthias Rath Rupert Preßmair Bernhard Schweighofer Georg Brasseur Institute of Electrical Measurement and Sensor Systems Graz University of Technology Graz Austria

ISBN: (数字)9781728144603

ISBN: (纸本)9781728144610

The rotor is a core element of a Flywheel Energy Storage System (FESS) and its condition has to be monitored continuously to assure safe operation. Modern flywheel rotors are usually made of carbon-fiber-reinforced polymer (CFRP) composites because of their high inherent specific energy density. Throughout the service life the stress state inside the rotor changes due to long-term effects of the material. Therefore, the strain profile is an interesting measure for the rotor's health condition. The chosen measurement principle requires a surface finish of the rotor with a periodic pattern of contrasting areas. A preliminary evaluation of the feasibility of different optoelectronic measurement setups with focus on different rotor materials, surface finishes and the high rotational speed of the rotor was conducted. Adhesion properties and influences of different rotor surface finishes as well as the influence of the photodiode's rise time are investigated.

关键词： flywheel optical strain measurement rotor surface finish CFRP Surface finish Rotors carbon fibre reinforced plastics flywheels Photoelectricity High rotating speed Strain measurement flywheel energy storage system measurement principle Mucilages, Adhesive rotor speed Photodiodes

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Magnetic Energy Harvesting on Overhead High Voltage Lines: Weight Optimized Transformer Design for High Power Output

Magnetic Energy Harvesting on Overhead High Voltage Lines: W...

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IEEE Instrumentation and measurement technology Conference

作者： M. Neumayer T. Bretterklieber G. Gruber G. Brasseur Institute of Electrical Measurement and Sensor Systems Graz University of Technology Graz Austria

ISBN: (数字)9781728144603

ISBN: (纸本)9781728144610

Magnetic energy harvesting is a technique to obtain electric energy from the AC-current forms the primary winding. It is a suitable energy harvesting technique for measurement systems on overhead high voltage lines (OHL). For OHL applications with a high power demand also other aspects have to be considered, e.g. the weight of the system. Furthermore, the high dynamic range of the primary current is an important parameter. In this work the behavior of the transformer of a magnetic energy harvesting systems is studied. A model for the transformer is presented, which is suitable for the high current range in OHL applications. Comparative measurement studies are presented to validate the theoretical predictions with respect to the achievable power density.

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Neural Network-Based Multimode Fiber Imaging and Characterization Under Thermal Perturbations

arXiv

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arXiv 2024年

作者： Wang, Kun Zhu, Changyan Colicchia, Ennio Dong, Xingchen Kurz, Wolfgang Mizuno, Yosuke Jakobi, Martin Koch, Alexander W. Chong, Yidong Technical University of Munich School of Computation Information and Technology Institute for Measurement Systems and Sensor Technology Theresienstrasse 90 Munich80333 Germany Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore637371 Singapore Faculty of Engineering Yokohama National University 79-5 Tokiwadai Hodogaya-ku Yokohama240-8501 Japan Institute of Multidisciplinary Sciences Yokohama National University 79-5 Tokiwadai Hodogaya-ku Yokohama240-8501 Japan

Multimode fiber (MMF) imaging aided by machine learning holds promise for numerous applications, including medical endoscopy. A key challenge for this technology is the sensitivity of modal transmission characteristics to environmental perturbations. Here, we show experimentally that an MMF imaging scheme based on a neural network (NN) can achieve results that are significantly robust to thermal perturbations. For example, natural images are successfully reconstructed as the MMF's temperature is varied by up to 50◦C relative to the training scenario, despite substantial variations in the speckle patterns caused by thermal changes. A dense NN with a single hidden layer is found to outperform a convolutional NN suitable for standard computer vision tasks. In addition, we demonstrate that NN parameters can be used to understand the MMF properties by reconstructing the approximate transmission matrices, and we show that the image reconstruction accuracy is directly related to the temperature dependence of the MMF's transmission characteristics. © 2024, CC BY.

关键词： Multimode fibers

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Flexible Human-Machine Interface Touch Pad S Based on Double-Network Solid-State Ionic Conductive Elastomers

SSRN

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SSRN 2024年

作者： Zhan, Wang Zhang, Qi Ye, Zhilu Yang, Zihao Wang, Yijing Zhang, Cuiling Zhang, Zeying Xue, Li Ma, Feng Wang, Zhiguang Peng, Niancai Jiang, Zhuangde Lyu, Yi Liu, Ming Zhang, Xiaohui State Key Laboratory for Manufacturing Systems Engineering The Key Laboratory of Biomedical Information Engineering of Ministry of Education Center for Mitochondrial Biology and Medicine School of Life Science and Technology International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technology Xi'an Key Laboratory for Biomedical Testing and High-end Equipment Xi'an Jiaotong University Shannxi Xi’an710049 China National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine Shaanxi Provincial Key Laboratory of Magnetic Medicine Department of Hepatobiliary Surgery The First Affiliated Hospital of Xi’an Jiaotong University No. 277 West Yanta Road Shaanxi Xi’an710061 China State Key Laboratory for Manufacturing Systems Engineering Electronic Materials Research Laboratory Key Laboratory of the Ministry of Education Engineering Research Center of Spin Quantum Sensor Chips Universities of Shaanxi Province School of Electronic Science and Engineering Xi'an Jiaotong University Xi’an710049 China State Key Laboratory for Manufacturing Systems Engineering School of Instrument Science and Technology International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technology Xi’an Key Laboratory for Biomedical Testing and High-end Equipment Xi’an Jiaotong University Xi’an710054 China State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technology Xi’an Jiaotong University Shaanxi Xi’an710049 China

In the rapidly evolving fields of artificial intelligence and the Internet of Things (IoTs), traditional rigid touch pads fall short in fulfilling the flexibility demands of cutting-edge human-machine interface technologies. Recent trends have seen the adoption of soft gel-based ionic conductors in the development of touch pads to enhance flexibility. Yet, these gel-based systems are hampered by intrinsic limitations like dehydration and ion/organic reagent leakage. Here, we report a flexible touch pad, ingeniously combining a surface-capacitive system with solid-state ionic conductive elastomers. Combination of salt-in-polymer and double-network structure strategies effectively addresses the longstanding trade-off between mechanical robustness and ionic conductivity. This pad supports a range of applications, from singular "point" interactions (flexible touch buttons) to "line" applications (stepless sound control and page turning) and finally, "surface" functionalities (game control and handwriting recognition). This research contributes significant insights to the advancement of next-generation human interfaces and IoTs. © 2024, The Authors. All rights reserved.

关键词： Interface states

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Enhanced sensing telemetry using reconstruction of divergent exceptional points with cross-coupling

Enhanced sensing telemetry using reconstruction of divergent...

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IEEE International Wireless Symposium (IWS)

作者： Baolong Jian Zhilu Ye Minye Yang Ming Liu Key Laboratory of the Ministry of Education Engineering Research Center of Spin Quantum Sensor Chips State Key Laboratory for Manufacturing Systems Engineering Electronic Materials Research Laboratory Universities of Shaanxi Province School of Electronic Science and Engineering Xi’an Jiaotong University Xi’an China International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technology Xi'an Key Laboratory for Biomedical Testing and High-end Equipment State Key Laboratory for Manufacturing Systems Engineering The Key Laboratory of Biomedical Information Engineering of Ministry of Education Center for Mitochondrial Biology and Medicine School of Life Science and Technology Xi'an Jiaotong University Xi'an P.R. China

ISBN: (数字)9798350389999

ISBN: (纸本)9798350390001

We herein introduce a new wireless sensing telemetry with enhanced sensitivity by leveraging the reconstruction of divergent exceptional point (DEP) in a cross-coupled third-order parity-time (PT)-symmetric electronic system. We confirm that with the presence of cross-coupling between the gain and loss components, which was ignored in the previous work, the phenomenon of DEP can still exist. In addition, we theoretically provide the design strategy for building such a system and explicit guidance for reconstructing the DEP. We also demonstrate that such a reconstruction procedure of the cross-coupled DEP can indeed be utilized as the sensing mechanism having unprecedented sensitivity. This work may provide a comprehensive understanding of the DEP benefits of the practical implementation of DEP sensors.

关键词： Wireless communication Wireless sensor networks Sensitivity Buildings sensors Telemetry Electromagnetics Oscillators Next generation networking

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Modeling Reflections in a Complex Cable Structure with Impedance Mismatches

Modeling Reflections in a Complex Cable Structure with Imped...

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Impedance Spectroscopy (IWIS), International Workshop on

作者： Dhia Haddad Ahmed Yahia Kallel Najoua Essoukri Ben Amara Olfa Kanoun Professorship Measurement and Sensor Technology Technische Universität Chemnitz Chemnitz Germany LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d'Ingénieurs de Sousse Sousse Tunisie

Reflections may occur in cables and transmission lines due to several reasons, such as junctions, so-called soft faults, or due to a mismatch between the terminating resistors and the characteristic impedance of the transmission line in the worst case as short circuits or open circuits, so called hard faults. For fault diagnostic based on Time-domain Reflectometry in complex cables, it is important to model the influence of impedance mismatches on the reflected signals to attribute the reflection peaks to the corresponding fault. In this paper, we propose an all-in-one model for the effect of impedance mismatches i.e. junctions, soft and hard faults, and mismatch between the cables and the connected devices at their ports. The model validation is carried out on a cable network modeled with distributed RLCG cable models. For simulation, a cable network has been defined with a direct path of 240 m, including two soft faults and two junctions, with an impedance mismatch between the cable and the reflectometer device. The results show good conformity between the analytical model and the simulation results. The deviations are in the range of 0.955 mV corresponding to 0.312 % of the simulated reflected signal, and the soft faults showed the highest participation in voltage deviation.

关键词： Power cables Simulation Voltage Mathematical models Reflection Impedance Circuit faults

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Identification of Communication Cables Based on S-Parameters and K-Nearest Neighbors Algorithm

Identification of Communication Cables Based on S-Parameters...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Oumaima Bader Dhia Haddad Ahmed Yahia Kallel Najoua Essoukri Ben Amara Olfa Kanoun Professorship of Measurement and Sensor Technology Technische Universität Chemnitz Chemnitz Germany Université de Sousse Ecole Nationale d'Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse Tunisie

ISBN: (纸本)9781665414937;9781665430579

Cable identification has a significant role in cable maintenance and fault detection. Before replacing defective cables in a network, they must be properly identified. In this paper, a novel method for coaxial communication cables identification based on scattering parameters is proposed. The input port reflection's magnitude measured by a Nano Vector Network Analyzer at 101 frequencies for 10 coaxial communication cables are used as features for the K-Nearest Neighbors algorithm. The investigation is held on cables of various lengths, dimensions and connector types. The cable's length, type and connectors are considered as a unique class. The classification accuracy reached is 99% for a test set composed of 100 measurements.

关键词： Connectors Coaxial cables Transmission line matrix methods Reflection Frequency measurement Communication cables Classification algorithms

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