Articles | Volume 9, issue 2
https://doi.org/10.5194/jsss-9-411-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/jsss-9-411-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Regular research article
| 
27 Nov 2020
Regular research article |
| 27 Nov 2020
| 27 Nov 2020
Random gas mixtures for efficient gas sensor calibration
Tobias Baur
CORRESPONDING AUTHOR
Lab for Measurement Technology, Saarland University, 66123 Saarbrücken, Germany
Manuel Bastuck
Lab for Measurement Technology, Saarland University, 66123 Saarbrücken, Germany
Caroline Schultealbert
Lab for Measurement Technology, Saarland University, 66123 Saarbrücken, Germany
Tilman Sauerwald
Lab for Measurement Technology, Saarland University, 66123 Saarbrücken, Germany
currently at: Fraunhofer Institute for Process Engineering and Packaging IVV, 85354 Freising, Germany
Andreas Schütze
Lab for Measurement Technology, Saarland University, 66123 Saarbrücken, Germany
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Caroline Schultealbert, Iklim Uzun, Tobias Baur, Tilman Sauerwald, and Andreas Schütze
J. Sens. Sens. Syst., 9, 283–292, https://doi.org/10.5194/jsss-9-283-2020, https://doi.org/10.5194/jsss-9-283-2020, 2020
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We present a work on gas sensors that can for example be used for the assessment of indoor air quality. These sensors suffer from deterioration by siloxanes, so we investigated these effects by a distinct operation mode and exposition to this gas that allows us to interpret different reactions on the sensor surface. We found that all processes on the sensor surface are slowed down by this treatment and a self-compensation by the evaluation of oxygen adsorption processes is likely to be found.
Henrik Lensch, Manuel Bastuck, Tobias Baur, Andreas Schütze, and Tilman Sauerwald
J. Sens. Sens. Syst., 8, 161–169, https://doi.org/10.5194/jsss-8-161-2019, https://doi.org/10.5194/jsss-8-161-2019, 2019
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The measurement of humidity in industrial applications is still an important research issue. Especially under rough operation conditions the current humidity sensor comes to its limitations. To this end, we are developing an integrated sensor system using a metal oxide sensor with impedance spectroscopy as multi-signal generation allowing the discrimination of humidity and reducing gases. The submitted paper focuses on the modeling of the humidity-dependent aspects of impedance.
Manuel Bastuck, Tobias Baur, and Andreas Schütze
J. Sens. Sens. Syst., 7, 489–506, https://doi.org/10.5194/jsss-7-489-2018, https://doi.org/10.5194/jsss-7-489-2018, 2018
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Predictions about systems too complex for physical modeling can be made nowadays with data-based models. Our software DAV³E is an easy way to extract relevant features from cyclic raw data, a process often neglected in other software packages, based on mathematical methods, incomplete physical models, or human intuition. Its graphical user interface further provides methods to fuse data from many sensors, to teach a model the prediction of new data, and to check the model’s performance.
Tobias Baur, Caroline Schultealbert, Andreas Schütze, and Tilman Sauerwald
J. Sens. Sens. Syst., 7, 411–419, https://doi.org/10.5194/jsss-7-411-2018, https://doi.org/10.5194/jsss-7-411-2018, 2018
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A novel method for the detection of short pulses of gas at very low concentrations is presented. Applying the method to a doped SnO2 detector, gas pulses down to a dosage of 1 ppb times seconds can be detected. The gas transport inside the detector is simulated using the finite element method (FEM) to optimize the gas transport and to keep response and recovery time as short as possible. With this approach, we have demonstrated a detection limit for ethanol below 47 fg.
Tilman Sauerwald, Tobias Baur, Martin Leidinger, Wolfhard Reimringer, Laurent Spinelle, Michel Gerboles, Gertjan Kok, and Andreas Schütze
J. Sens. Sens. Syst., 7, 235–243, https://doi.org/10.5194/jsss-7-235-2018, https://doi.org/10.5194/jsss-7-235-2018, 2018
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For detection of benzene, a multichannel gas sensor system was tested in two different laboratories at the concentration range from 0.5 ppb up to 10 ppb. A model is used to extract the channels and multilinear regression is done to compensate cross interference to other gases. Depending on the measurement conditions, the quantification accuracy is between ±0.2 ppb and ±2 ppb. Regression models for one laboratory were transferable between the labs under comparable measurement conditions.
Maximilian Koehne, Michael Henfling, Kristina Amtmann, Andreas Stenzel, Andrea Buettner, Sabine Trupp, Gina Zeh, and Tilman Sauerwald
J. Sens. Sens. Syst., 13, 263–275, https://doi.org/10.5194/jsss-13-263-2024, https://doi.org/10.5194/jsss-13-263-2024, 2024
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Continuous quality monitoring has become increasingly important in industrial processes, such as raw-milk monitoring. This can often be achieved by detecting individual process markers in the gas phase, which requires inexpensive analytical systems. Therefore, an easy-to-implement three-step concept has been developed that aims to bring together the chemical–analytical and sensor–technical sides. This concept is designed to be applicable in a wide variety of cases and to a range of sensors.
Maximilian Koehne, Christopher Schmidt, Satnam Singh, Andreas Grasskamp, Tilman Sauerwald, and Gina Zeh
J. Sens. Sens. Syst., 12, 215–223, https://doi.org/10.5194/jsss-12-215-2023, https://doi.org/10.5194/jsss-12-215-2023, 2023
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Continuous inspection of gases is increasingly important for process monitoring, like fruit ripening. This involves the detection of individual markers in complex gas mixtures, e.g., to indicate spoilage. Unfortunately, classical techniques are lab-bound and resource-intensive. Hence, small, low-cost systems are being developed. Thereto, we propose a sensor system, containing a non-heated gas separation unit and gas sensors combined with a compensation of surrounding temperature effects.
Andreas T. Grasskamp, Satnam Singh, Helen Haug, and Tilman Sauerwald
J. Sens. Sens. Syst., 12, 93–101, https://doi.org/10.5194/jsss-12-93-2023, https://doi.org/10.5194/jsss-12-93-2023, 2023
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In this work, we have developed and validated a semi-automatic approach that greatly reduces the amount of interaction and effort needed for analyzing samples via gas chromatography–mass spectrometry. Further, unlike many other approaches, our developed tool is accessible to the novice and does not require any programming experience. Using whisky as an example substance, we show how the analysis method compares to conventional software, and we validate our approach against that.
Tanja Dorst, Tizian Schneider, Sascha Eichstädt, and Andreas Schütze
J. Sens. Sens. Syst., 12, 45–60, https://doi.org/10.5194/jsss-12-45-2023, https://doi.org/10.5194/jsss-12-45-2023, 2023
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A fundamental problem of machine learning (ML) is measurement uncertainty and the influence on ML results. Measurement uncertainty, which is critical in hazardous gas detection, is directly addressed in this paper. A previously published toolbox is extended for regression. One of the benefits of this approach is obtaining a better understanding of where the overall system should be improved. This can be achieved by either improving the trained ML model or using a sensor with higher precision.
Tanja Dorst, Yannick Robin, Sascha Eichstädt, Andreas Schütze, and Tizian Schneider
J. Sens. Sens. Syst., 10, 233–245, https://doi.org/10.5194/jsss-10-233-2021, https://doi.org/10.5194/jsss-10-233-2021, 2021
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Synchronization problems within distributed sensor networks are a major challenge in the field of Industry 4.0. In this paper, artificially generated time shifts between sensor data and their influence on remaining useful lifetime prediction of electromechanical cylinders are investigated. It is shown that time shifts within sensor data lead to poor remaining useful lifetime predictions. However, this prediction can be significantly improved using various methods as shown in this contribution.
Caroline Schultealbert, Iklim Uzun, Tobias Baur, Tilman Sauerwald, and Andreas Schütze
J. Sens. Sens. Syst., 9, 283–292, https://doi.org/10.5194/jsss-9-283-2020, https://doi.org/10.5194/jsss-9-283-2020, 2020
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We present a work on gas sensors that can for example be used for the assessment of indoor air quality. These sensors suffer from deterioration by siloxanes, so we investigated these effects by a distinct operation mode and exposition to this gas that allows us to interpret different reactions on the sensor surface. We found that all processes on the sensor surface are slowed down by this treatment and a self-compensation by the evaluation of oxygen adsorption processes is likely to be found.
Marius Rodner, Manuel Bastuck, Andreas Schütze, Mike Andersson, Joni Huotari, Jarkko Puustinen, Jyrki Lappalainen, and Tilman Sauerwald
J. Sens. Sens. Syst., 8, 261–267, https://doi.org/10.5194/jsss-8-261-2019, https://doi.org/10.5194/jsss-8-261-2019, 2019
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To fulfil today's requirements, gas sensors have to become more and more sensitive and selective. In this work, we present a novel method to significantly enhance the effect of gate bias on the response of a SiC field-effect transistor by placing a lithium-doped tungsten oxide film beneath the gate. This enhancement, compared to undoped samples, opens new perspectives for static and transient signal generation, e.g. gate bias-cycled operation, and, thus, increasing sensitivity and selectivity.
Henrik Lensch, Manuel Bastuck, Tobias Baur, Andreas Schütze, and Tilman Sauerwald
J. Sens. Sens. Syst., 8, 161–169, https://doi.org/10.5194/jsss-8-161-2019, https://doi.org/10.5194/jsss-8-161-2019, 2019
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The measurement of humidity in industrial applications is still an important research issue. Especially under rough operation conditions the current humidity sensor comes to its limitations. To this end, we are developing an integrated sensor system using a metal oxide sensor with impedance spectroscopy as multi-signal generation allowing the discrimination of humidity and reducing gases. The submitted paper focuses on the modeling of the humidity-dependent aspects of impedance.
Manuel Bastuck, Tobias Baur, and Andreas Schütze
J. Sens. Sens. Syst., 7, 489–506, https://doi.org/10.5194/jsss-7-489-2018, https://doi.org/10.5194/jsss-7-489-2018, 2018
Short summary
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Predictions about systems too complex for physical modeling can be made nowadays with data-based models. Our software DAV³E is an easy way to extract relevant features from cyclic raw data, a process often neglected in other software packages, based on mathematical methods, incomplete physical models, or human intuition. Its graphical user interface further provides methods to fuse data from many sensors, to teach a model the prediction of new data, and to check the model’s performance.
Tobias Baur, Caroline Schultealbert, Andreas Schütze, and Tilman Sauerwald
J. Sens. Sens. Syst., 7, 411–419, https://doi.org/10.5194/jsss-7-411-2018, https://doi.org/10.5194/jsss-7-411-2018, 2018
Short summary
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A novel method for the detection of short pulses of gas at very low concentrations is presented. Applying the method to a doped SnO2 detector, gas pulses down to a dosage of 1 ppb times seconds can be detected. The gas transport inside the detector is simulated using the finite element method (FEM) to optimize the gas transport and to keep response and recovery time as short as possible. With this approach, we have demonstrated a detection limit for ethanol below 47 fg.
Andreas Schütze, Nikolai Helwig, and Tizian Schneider
J. Sens. Sens. Syst., 7, 359–371, https://doi.org/10.5194/jsss-7-359-2018, https://doi.org/10.5194/jsss-7-359-2018, 2018
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“Industrie 4.0” or the Industrial Internet of Things (IIoT) describe the current (r)evolution in industrial automation and control. This is fundamentally based on smart sensors, which generate data and allow further functionality from self-monitoring and self-configuration to condition monitoring of complex processes. The paper reviews the development of sensor technology over the last 2 centuries and highlights some of the potential that can be achieved with smart sensors and data analysis.
Tilman Sauerwald, Tobias Baur, Martin Leidinger, Wolfhard Reimringer, Laurent Spinelle, Michel Gerboles, Gertjan Kok, and Andreas Schütze
J. Sens. Sens. Syst., 7, 235–243, https://doi.org/10.5194/jsss-7-235-2018, https://doi.org/10.5194/jsss-7-235-2018, 2018
Short summary
Short summary
For detection of benzene, a multichannel gas sensor system was tested in two different laboratories at the concentration range from 0.5 ppb up to 10 ppb. A model is used to extract the channels and multilinear regression is done to compensate cross interference to other gases. Depending on the measurement conditions, the quantification accuracy is between ±0.2 ppb and ±2 ppb. Regression models for one laboratory were transferable between the labs under comparable measurement conditions.
Martin Leidinger, Joni Huotari, Tilman Sauerwald, Jyrki Lappalainen, and Andreas Schütze
J. Sens. Sens. Syst., 5, 147–156, https://doi.org/10.5194/jsss-5-147-2016, https://doi.org/10.5194/jsss-5-147-2016, 2016
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For the application of indoor air quality monitoring, two types of tungsten oxide gas sensor layers were prepared via pulsed laser deposition. Analysis of the structure of the produced layers showed that they consist of nanoparticles and agglomerates of nanoparticles. The sensors showed significant sensitivity and selectivity towards naphthalene in the ppb concentration range. The results were achieved using temperature cycled operation of the sensors and pattern recognition signal treatment.
M. Schüler, T. Sauerwald, and A. Schütze
J. Sens. Sens. Syst., 4, 305–311, https://doi.org/10.5194/jsss-4-305-2015, https://doi.org/10.5194/jsss-4-305-2015, 2015
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We study the effect of HMDSO vapor on an SnO2-based gas sensor in temperature cycled operation (TCO). The poisoning can be quantified at early stages with a resolution of ±85 ppm*min using TCO. This approach provides a simple method for early detection of HMDSO poisoning.
The stability of gas discrimination by linear discriminant analysis (LDA) can be improved using normalization, which in turn facilitates a more accurate determination of the poisoning state by hierarchical LDA discrimination.
B. Schmitt, C. Kiefer, and A. Schütze
J. Sens. Sens. Syst., 4, 239–247, https://doi.org/10.5194/jsss-4-239-2015, https://doi.org/10.5194/jsss-4-239-2015, 2015
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A novel sensor principle for determining binary fluid mixtures of known components is presented. A bluff body is placed in the fluid channel, causing the formation of a stationary pair of vortices behind the body. The length of the vortex pair depends on the mixture’s viscosity and thus its composition. It is measured by placing a microheater in the vortex area and making use of forced convection which changes with the size of the vortices.
D. Puglisi, J. Eriksson, C. Bur, A. Schuetze, A. Lloyd Spetz, and M. Andersson
J. Sens. Sens. Syst., 4, 1–8, https://doi.org/10.5194/jsss-4-1-2015, https://doi.org/10.5194/jsss-4-1-2015, 2015
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This study aims at the development of high-performance and cost-efficient gas sensors for sensitive detection of three specific hazardous gases, i.e., formaldehyde, naphthalene, and benzene, commonly present in indoor environments in concentrations of health concern. We used silicon carbide field effect transistors to investigate the sensor performance and characteristics under different levels of relative humidity up to 60%, demonstrating excellent detection limits in the sub-ppb range.
C. Bur, M. Bastuck, A. Schütze, J. Juuti, A. Lloyd Spetz, and M. Andersson
J. Sens. Sens. Syst., 3, 305–313, https://doi.org/10.5194/jsss-3-305-2014, https://doi.org/10.5194/jsss-3-305-2014, 2014
M. Leidinger, T. Sauerwald, W. Reimringer, G. Ventura, and A. Schütze
J. Sens. Sens. Syst., 3, 253–263, https://doi.org/10.5194/jsss-3-253-2014, https://doi.org/10.5194/jsss-3-253-2014, 2014
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An approach for detecting hazardous volatile organic compounds (VOCs) in ppb and sub-ppb concentrations is presented. Using metal oxide semiconductor (MOS) gas sensors in temperature cycled operation, VOCs in trace concentrations are successfully identified against a varying ethanol background of up to 2 ppm. For signal processing, linear discriminant analysis is applied to single sensor data and sensor fusion data. Integrated gas sensor systems using the same MOS sensors were characterized.
M. Schüler, T. Sauerwald, and A. Schütze
J. Sens. Sens. Syst., 3, 213–221, https://doi.org/10.5194/jsss-3-213-2014, https://doi.org/10.5194/jsss-3-213-2014, 2014
T. Bley, E. Pignanelli, and A. Schütze
J. Sens. Sens. Syst., 3, 121–132, https://doi.org/10.5194/jsss-3-121-2014, https://doi.org/10.5194/jsss-3-121-2014, 2014
M. Bastuck, C. Bur, A. Lloyd Spetz, M. Andersson, and A. Schütze
J. Sens. Sens. Syst., 3, 9–19, https://doi.org/10.5194/jsss-3-9-2014, https://doi.org/10.5194/jsss-3-9-2014, 2014
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Measurement of the Beruforge 152DL thin-film lubricant using a developed thin-film thickness standard
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J. Sens. Sens. Syst., 12, 205–214, https://doi.org/10.5194/jsss-12-205-2023, https://doi.org/10.5194/jsss-12-205-2023, 2023
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Robin Werner, Jaroslaw Kita, Michael Gollner, Florian Linseis, and Ralf Moos
J. Sens. Sens. Syst., 12, 69–84, https://doi.org/10.5194/jsss-12-69-2023, https://doi.org/10.5194/jsss-12-69-2023, 2023
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A high-temperature gauge to simultaneously determine electrical conductivity, the Hall constant, and the Seebeck coefficient was developed. Screen-printed heating structures on a ceramic sample holder generate temperatures up to 800 °C. Heating structures were designed using FEM simulations. The temperature distribution was validated by thermal imaging. Measurements on constantan (reference material) and boron-doped silicon wafer confirm the functionality of the gauge up to 800 °C.
Roman Kruglov, Gregor Saur, and Rainer Engelbrecht
J. Sens. Sens. Syst., 11, 161–169, https://doi.org/10.5194/jsss-11-161-2022, https://doi.org/10.5194/jsss-11-161-2022, 2022
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J. Sens. Sens. Syst., 10, 171–177, https://doi.org/10.5194/jsss-10-171-2021, https://doi.org/10.5194/jsss-10-171-2021, 2021
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Lili Chen, Ulana Cikalova, Beatrice Bendjus, Stefan Muench, and Mike Roellig
J. Sens. Sens. Syst., 9, 345–354, https://doi.org/10.5194/jsss-9-345-2020, https://doi.org/10.5194/jsss-9-345-2020, 2020
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Jens Ebel, Carolin Schilling, and Holger Fritze
J. Sens. Sens. Syst., 9, 263–271, https://doi.org/10.5194/jsss-9-263-2020, https://doi.org/10.5194/jsss-9-263-2020, 2020
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In a very specific way, this research paper shows how established systems – in this case a commercial soot sensor for the automotive sector – can be optimized by diving deep into the basic research. The approach here is to link macroscopic observations or signal behavior with processes taking place on the atomic level. Taking these fundamental processes into account, the sensor's specific response time could be shortened effectively by a change in operating strategy – without any design changes.
Martin Weisbrich, Klaus Holschemacher, and Thomas Bier
J. Sens. Sens. Syst., 9, 189–197, https://doi.org/10.5194/jsss-9-189-2020, https://doi.org/10.5194/jsss-9-189-2020, 2020
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Distributed fiber optic strain measurement based on Rayleigh scattering enables the monitoring of strain along the entire fiber length and the possibility of integration into material matrices. In this article, optical fibers were integrated into the concrete matrix of small prisms to measure the deformation by drying. In comparison with a reference measuring method, the losses of strain transfer were measured. The analysis shows a high correlation between the reference method and the fiber.
Sebastian Metzner, Tamara Reuter, and Tino Hausotte
J. Sens. Sens. Syst., 9, 157–165, https://doi.org/10.5194/jsss-9-157-2020, https://doi.org/10.5194/jsss-9-157-2020, 2020
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For the determination of the refractive index of the lubricant used in the sheet-bulk metal forming process, a lubricant thin-film thickness standard was developed which represents a continuous measuring range from 6 to 100 μm. To determine the refractive index, the thin-film thickness standard was measured with a coaxial interferometric measurement system in various thickness ranges. The results show changing optical properties with increasing layer thickness.
Giuseppe Dinardo, Laura Fabbiano, and Gaetano Vacca
J. Sens. Sens. Syst., 8, 269–283, https://doi.org/10.5194/jsss-8-269-2019, https://doi.org/10.5194/jsss-8-269-2019, 2019
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The paper deals with the proposal of a new obstruction flowmeter (cone type) characterized by an improved geometry. Compared with a standard geometry cone flowmeter, the proposed one ensures better performance in terms of a higher discharge coefficient and less permanent pressure drops. Additionally, several experimental tests and numerical simulations have been performed to compare the overall performance granted by both flowmeters, endorsing the superiority of the proposed solution.
Jan Nitsche, Rolf Kumme, and Rainer Tutsch
J. Sens. Sens. Syst., 7, 577–586, https://doi.org/10.5194/jsss-7-577-2018, https://doi.org/10.5194/jsss-7-577-2018, 2018
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Multi-component sensors for force and moment are commonly used in different areas as robotics, crash tests or material testing. The dynamic behaviour of such sensors may differ significantly from the static behaviour. To analyse the dynamic characteristics, we developed an improved test set-up for periodic excitation. It consists of an electrodynamic shaker, adapting elements and different acceleration references. The first experiments show good results for periodic excitation up to 1000 Hz.
Alejandro Moreno-Rangel, Tim Sharpe, Filbert Musau, and Gráinne McGill
J. Sens. Sens. Syst., 7, 373–388, https://doi.org/10.5194/jsss-7-373-2018, https://doi.org/10.5194/jsss-7-373-2018, 2018
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We compared the temperature, relative humidity, total volatile organic compounds, carbon dioxide equivalents, and fine particulate matter measurements from Foobot to highly accurate instruments. The results suggest that Foobot offers a relatively low-cost and straightforward solution for identifying high pollutant exposures with potential health risks and for providing data at high granularity. Foobot characteristics make it a useful tool to evaluate occupant pollutant exposure.
Heinz Kohler, Binayak Ojha, Navas Illyaskutty, Ingo Hartmann, Christian Thiel, Konrad Eisinger, and Markus Dambacher
J. Sens. Sens. Syst., 7, 161–167, https://doi.org/10.5194/jsss-7-161-2018, https://doi.org/10.5194/jsss-7-161-2018, 2018
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Wood-log- and wood-chip-fuelled low-power combustion systems emit high amounts of uncombusted gaseous components like CO and particulate matter. Emissions can be effectively reduced by optimized combustion process control using high-temperature gas sensors. The sensing behaviour of gas sensors for continuous analysis of uncombusted components and their long-term stability have been studied. The sensor signals are used to improve the combustion process control and to monitor combustion quality.
Gerry Hamdana, Maik Bertke, Lutz Doering, Thomas Frank, Uwe Brand, Hutomo Suryo Wasisto, and Erwin Peiner
J. Sens. Sens. Syst., 6, 121–133, https://doi.org/10.5194/jsss-6-121-2017, https://doi.org/10.5194/jsss-6-121-2017, 2017
Michal Schulz, Timna Orland, Alexander Mehlmann, Avner Rothschild, and Holger Fritze
J. Sens. Sens. Syst., 6, 107–119, https://doi.org/10.5194/jsss-6-107-2017, https://doi.org/10.5194/jsss-6-107-2017, 2017
Kerstin Schröder, Manfred Rothhardt, Wolfgang Ecke, Uwe Richter, André Sonntag, and Hartmut Bartelt
J. Sens. Sens. Syst., 6, 77–85, https://doi.org/10.5194/jsss-6-77-2017, https://doi.org/10.5194/jsss-6-77-2017, 2017
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Fibre optic sensors are excellent tools for monitoring (with) high-voltage current collectors. They are easily integrated into the collector strip and specialized for detection of events like hits on the strip. The sensing system can be used in regular trains and make monitoring of the overhead contact line routine, which is done "along the way", helping not only to prevent accidents by small intruders, but also allowing the prediction of wear and is used to optimize service and repair cycles.
Franz Schubert, Michael Gollner, Jaroslaw Kita, Florian Linseis, and Ralf Moos
J. Sens. Sens. Syst., 5, 381–388, https://doi.org/10.5194/jsss-5-381-2016, https://doi.org/10.5194/jsss-5-381-2016, 2016
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An FEM model is used to improve the sensor design of a Tian–Calvet calorimeter. By modifying the basic part of the sensor (a sensor disc based on low temperature co-fired ceramics), the sensitivity was increased by a factor of 3. The model was validated and the sensors were calibrated. Indium and tin samples were measured. The melting temperatures show a deviation of 0.2 K while the enthalpy was measured with a precision better than 1 %. The values for tin deviate by less than 2 % from literature.
Agnes Eydam, Gunnar Suchaneck, and Gerald Gerlach
J. Sens. Sens. Syst., 5, 165–170, https://doi.org/10.5194/jsss-5-165-2016, https://doi.org/10.5194/jsss-5-165-2016, 2016
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Piezoelectric devices are characterized non-destructively to ensure their functionality. The material is heated by laser diodes. The resulting temperature changes lead to a pyroelectric current. Analytical and numerical finite element models describe the temperature distribution and the current in frequency and time domain. Modelling and experimental results are compared for piezoelectric plates and integrated sensors and actuators.
M. Klenner, T. Abels, C. Zech, A. Hülsmann, M. Schlechtweg, and O. Ambacher
J. Sens. Sens. Syst., 4, 125–131, https://doi.org/10.5194/jsss-4-125-2015, https://doi.org/10.5194/jsss-4-125-2015, 2015
A. Dickow and G. Feiertag
J. Sens. Sens. Syst., 4, 97–102, https://doi.org/10.5194/jsss-4-97-2015, https://doi.org/10.5194/jsss-4-97-2015, 2015
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In this paper we present a systematic method to determine sets of close-to-optimal sensor calibration points for a polynomial approximation.For each set of calibration points a polynomial is used to fit the nonlinear sensor response to the calibration reference. The polynomial parameters are calculated using ordinary least square fit. In an experiment, barometric MEMS pressure sensors are calibrated using the proposed calibration method at several temperatures and pressures.
A. Henseleit, C. Pohl, Th. Bley, and E. Boschke
J. Sens. Sens. Syst., 4, 77–83, https://doi.org/10.5194/jsss-4-77-2015, https://doi.org/10.5194/jsss-4-77-2015, 2015
J. C. B. Fernandes and E. V. Heinke
J. Sens. Sens. Syst., 4, 53–61, https://doi.org/10.5194/jsss-4-53-2015, https://doi.org/10.5194/jsss-4-53-2015, 2015
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All-solid-state reference electrodes were developed based on particles of graphite/silver/silver chloride synthesized by electroless deposition of metallic silver and silver chloride on graphite powder. These electrodes were not sensitive to abrasion, redox species, pH and high-pressure saturated steam, and were applied successfully in potentiometric cells to measure pH and potassium ions in a complex matrix by direct potentiometry and L-ascorbic acid by potentiometric titration.
S. Kishimoto, S. Akamatsu, H. Song, J. Nomoto, H. Makino, and T. Yamamoto
J. Sens. Sens. Syst., 3, 331–334, https://doi.org/10.5194/jsss-3-331-2014, https://doi.org/10.5194/jsss-3-331-2014, 2014
A. Lorek
J. Sens. Sens. Syst., 3, 177–185, https://doi.org/10.5194/jsss-3-177-2014, https://doi.org/10.5194/jsss-3-177-2014, 2014
T. Waber, M. Sax, W. Pahl, S. Stufler, A. Leidl, M. Günther, and G. Feiertag
J. Sens. Sens. Syst., 3, 167–175, https://doi.org/10.5194/jsss-3-167-2014, https://doi.org/10.5194/jsss-3-167-2014, 2014
N. Orlowski, H.-G. Frede, N. Brüggemann, and L. Breuer
J. Sens. Sens. Syst., 2, 179–193, https://doi.org/10.5194/jsss-2-179-2013, https://doi.org/10.5194/jsss-2-179-2013, 2013
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Short summary
Applications like air quality, fire detection and detection of explosives require selective and quantitative measurements in an ever-changing background of interfering gases. One main issue hindering the successful implementation of gas sensors in real-world applications is the lack of appropriate calibration procedures for advanced gas sensor systems. This article presents a calibration scheme for gas sensors based on gas profiles with unique randomized gas mixtures.
Applications like air quality, fire detection and detection of explosives require selective and...
Special issue