Impedance Spectroscopy

오한준,; 이종호,; 이영훈,; 고영신,

doi:10.1515/9783110558920

Cited by 21 publications

(3 citation statements)

References 33 publications

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“…The application of electrical impedance spectroscopy (EIS) as an analytical method is widespread. Examples include material characterization, monitoring and diagnosis of battery or accumulator systems, medical applications, or food monitoring [ 1 ]. The advantages of the measurement method include its non-invasive nature, the flexibility of the measurement duration and the volume under investigation, and the high information content due to the simultaneous determination of the real and imaginary parts of an impedance at various frequencies [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

“…Examples include material characterization, monitoring and diagnosis of battery or accumulator systems, medical applications, or food monitoring [ 1 ]. The advantages of the measurement method include its non-invasive nature, the flexibility of the measurement duration and the volume under investigation, and the high information content due to the simultaneous determination of the real and imaginary parts of an impedance at various frequencies [ 1 ]. Impedance is an integral measure that contains information about larger volumes rather than local characteristics, which do not have to be statistically representative.…”

Section: Introductionmentioning

confidence: 99%

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Classification of Sand-Binder Mixtures from the Foundry Industry Using Electrical Impedance Spectroscopy and Support Vector Machines

Bifano,

Ma,

Fischerauer

2024

Sensors

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Molding sand mixtures used in the foundry industry consist of various sands (quartz sands, chromite sands, etc.) and additives such as bentonite. The optimum control of the processes involved in using the mixtures and in their regeneration after the casting requires an efficient in-line monitoring method that is not available today. We are investigating whether such a method can be based on electrical impedance spectroscopy (EIS). To establish a database, we have characterized various sand mixtures by EIS in the frequency range from 0.5 kHz to 1 MHz under laboratory conditions. Attempts at classifying the different molding sand mixtures by support vector machines (SVM) show encouraging results. Already high assignment accuracies (above 90%) could even be improved with suitable feature selection (sequential feature selection). At the same time, the standard uncertainty of the SVM results is low, i.e., data assigned to a class by the presented SVMs have a high probability of being assigned correctly. The application of EIS with subsequent evaluation by machine learning (machine-learning-enhanced EIS, MLEIS) in the field of bulk material monitoring in the foundry industry appears possible.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Classification of Sand-Binder Mixtures from the Foundry Industry Using Electrical Impedance Spectroscopy and Support Vector Machines

Bifano,

Ma,

Fischerauer

2024

Sensors

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“…Considering that the shape of the EBI spectrum is rather smooth, it is reasonable to spread the energy of the excitation only into a limited number of frequency components. The analysis shows that in certain cases using even three frequency components allows satisfactory fitting of values for the electrical model components [16].…”

Section: Introductionmentioning

confidence: 99%

Multichannel Electrical Impedance Spectroscopy Analyzer with Microfluidic Sensors

Ojarand

Min

Koel

2019

Sensors

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Impedance spectroscopy is a common approach in assessing passive electrical properties of biological matter. However, several problems appear in microfluidic devices in connection with the requirement for high sensitivity of signal acquisition from small volume sensors. The developed compact and inexpensive analyzer provides impedance spectroscopy measurement from three sensors, both connected in direct and differential modes. Measurement deficiencies are reduced with a novel design of sensors, measurement method, optimized electronics, signal processing, and mechanical design of the analyzer. Proposed solutions are targeted to the creation of reliable point-of-care (POC) diagnostic and monitoring appliances, including lab-on-a-chip type devices in the next steps of development. The test results show the good working ability of the developed analyzer; however, also limitations and problems that require attention and further improvement are appointed.

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Application of impedance spectroscopy and tomography to monitor calcite deposits in drainage pipes

Affortunati

Zagar

2022

Elektrotech. Inftech.

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The determination of calcite deposits in drainage pipes plays an important role in tunnel construction as well as in ongoing operation. If these deposits are not detected in time, expensive maintenance work is required compared to a simple flush. If detected early, rinsing with a pressurized water jet is usually sufficient. For this reason, research is carried out on various sensor systems that allow the growth of the calcite layer to be monitored. Impedance tomography (EIT) and impedance spectroscopy (EIS) can be used as measuring methods since both allow the estimation of the layering of air, water, and calcite for the given two-dimensional pipe geometry. The solution to the estimation problem is also made easier by the fact that the materials involved, PVC, calcite, water, and air, have very different electrical conductivities and permittivities and are also known to form horizontal layers. Thus, simple electronics and signal processing schemes are possible.This article presents a cost-effective drainage pipe monitoring solution that uses distributed impedance measurements to determine the layering and roughly estimates the thickness of layers of air, water, and calcite within these pipes. Several thousand pipe segments are required for tunnel lengths of several kilometers, which is why a very inexpensive and simple implementation of these sensors is required.

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Impedance Spectroscopy

Cited by 21 publications

References 33 publications

Classification of Sand-Binder Mixtures from the Foundry Industry Using Electrical Impedance Spectroscopy and Support Vector Machines

Classification of Sand-Binder Mixtures from the Foundry Industry Using Electrical Impedance Spectroscopy and Support Vector Machines

Multichannel Electrical Impedance Spectroscopy Analyzer with Microfluidic Sensors

Application of impedance spectroscopy and tomography to monitor calcite deposits in drainage pipes

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