Thomas Suppan

About Thomas Suppan

Thomas Suppan, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Technische Universität Graz, specializes in the field of Capacitive sensing, inverse problems, model based signal processing, numerical algorithms, flow measurement.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient Jacobian Computations for Complex ECT/EIT Imaging

Fast numerical techniques for FE simulations in electrical capacitance tomography

Dielectric Sensing of Mass Concentration and Moisture in Coal Powders

Electrical capacitance tomography-based estimation of slug flow parameters in horizontally aligned pneumatic conveyors

ECT in a Large Scale Industrial Pneumatic Conveying Systems

A model-based analysis of capacitive flow metering for pneumatic conveying systems: a comparison between calibration-based and tomographic approaches

Performance assessment framework for electrical capacitance tomography based mass concentration estimation in pneumatic conveying systems

Measurement methodology to characterize permittivity-mass concentration relations of aerated bulk materials

Thomas Suppan Information

University

Position

PhD Student Institute of Electrical Measurement and Sensor Systems

Citations(all)

62

Citations(since 2020)

62

Cited By

12

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Thomas Suppan Skills & Research Interests

Capacitive sensing

inverse problems

model based signal processing

numerical algorithms

flow measurement

Top articles of Thomas Suppan

Efficient Jacobian Computations for Complex ECT/EIT Imaging

Mathematics

2024/3/28

Fast numerical techniques for FE simulations in electrical capacitance tomography

COMPEL-The international journal for computation and mathematics in electrical and electronic engineering

2023/11/21

Dielectric Sensing of Mass Concentration and Moisture in Coal Powders

IEEE Sensors Letters

2023/7/20

Electrical capacitance tomography-based estimation of slug flow parameters in horizontally aligned pneumatic conveyors

Powder Technology

2023/4/15

ECT in a Large Scale Industrial Pneumatic Conveying Systems

2023

A model-based analysis of capacitive flow metering for pneumatic conveying systems: a comparison between calibration-based and tomographic approaches

Sensors

2022/1

Performance assessment framework for electrical capacitance tomography based mass concentration estimation in pneumatic conveying systems

2021/5/17

Measurement methodology to characterize permittivity-mass concentration relations of aerated bulk materials

2021/5/17

ECT-based mass flow metering in pneumatic conveying processes

2021

Thermal drifts of capacitive flow meters: Analysis of effects and model-based compensation

IEEE Transactions on Instrumentation and Measurement

2020/10/29

Model based compensation of thermal drifts for multi electrode capacitive sensing

2020/5/25

Prior design for tomographic volume fraction estimation in pneumatic conveying systems from capacitive data

Transactions of the Institute of Measurement and Control

2020/2

Sensor Fusion Concept for Improved Rotational Speed Measurement in Small Engines

2020/1/24

Thomas Bretterklieber
Thomas Bretterklieber

H-Index: 12

Thomas Suppan
Thomas Suppan

H-Index: 2

See List of Professors in Thomas Suppan University(Technische Universität Graz)