Wearable ESD Occurrence Rate Detection with Voltage Level Estimation

Gabriel Fellner; David Johannes Pommerenke; Seyed Mostafa Mousavi; Amin Pak; Matthias Wintersteller; Christoph Koger; Satyajeet Shinde; Michael Hillstrom

doi:10.1109/EMCEurope51680.2022.9901093

Wearable ESD Occurrence Rate Detection with Voltage Level Estimation

Gabriel Fellner, David Johannes Pommerenke, Seyed Mostafa Mousavi, Amin Pak, Matthias Wintersteller, Christoph Koger, Satyajeet Shinde, Michael Hillstrom

Research output: Conference proceeding/Chapter in Book/Report/ › Conference Paper › peer-review

Abstract

Detecting personal ESD by using electric field sensors attached to the clothing was evaluated across different realistic charge and discharge scenarios. The ESD event itself is detected by the associated fast collapse of the electric field at the human. Its magnitude is determined by the E-field change using calibration that relates the E-field on the body to the charge voltage of the body. Two sensors are used to enhance accuracy. One of these positions hereby is on the front-side of the leg and the other on the back-side. The paper explains the measurement principle and gives example results.

Original language	English
Title of host publication	2022 International Symposium on Electromagnetic Compatibility – EMC Europe
Pages	268-272
Number of pages	5
DOIs	https://doi.org/10.1109/EMCEurope51680.2022.9901093
Publication status	Published - 8 Sept 2022
Externally published	Yes
Event	2022 International Symposium on Electromagnetic Compatibility – EMC Europe - Gothenburg, Sweden Duration: 5 Sept 2022 → 8 Sept 2022

Conference

Conference	2022 International Symposium on Electromagnetic Compatibility – EMC Europe
Period	5/09/22 → 8/09/22

Keywords

Legged locomotion
Voltage measurement
Electrostatic measurements
Estimation
Electrostatic discharges
Electromagnetic compatibility
Discharges (electric)

Access to Document

10.1109/EMCEurope51680.2022.9901093

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9901093

Cite this

@inproceedings{584bf76ff7c840dcad7dbcd44bb9f574,

title = "Wearable ESD Occurrence Rate Detection with Voltage Level Estimation",

abstract = "Detecting personal ESD by using electric field sensors attached to the clothing was evaluated across different realistic charge and discharge scenarios. The ESD event itself is detected by the associated fast collapse of the electric field at the human. Its magnitude is determined by the E-field change using calibration that relates the E-field on the body to the charge voltage of the body. Two sensors are used to enhance accuracy. One of these positions hereby is on the front-side of the leg and the other on the back-side. The paper explains the measurement principle and gives example results.",

keywords = "Legged locomotion, Voltage measurement, Electrostatic measurements, Estimation, Electrostatic discharges, Electromagnetic compatibility, Discharges (electric)",

author = "Gabriel Fellner and Pommerenke, {David Johannes} and Mousavi, {Seyed Mostafa} and Amin Pak and Matthias Wintersteller and Christoph Koger and Satyajeet Shinde and Michael Hillstrom",

year = "2022",

month = sep,

day = "8",

doi = "10.1109/EMCEurope51680.2022.9901093",

language = "English",

isbn = "978-1-6654-0789-2",

pages = "268--272",

booktitle = "2022 International Symposium on Electromagnetic Compatibility – EMC Europe",

note = "2022 International Symposium on Electromagnetic Compatibility – EMC Europe ; Conference date: 05-09-2022 Through 08-09-2022",

}

Fellner, G, Pommerenke, DJ, Mousavi, SM, Pak, A, Wintersteller, M, Koger, C, Shinde, S & Hillstrom, M 2022, Wearable ESD Occurrence Rate Detection with Voltage Level Estimation. in 2022 International Symposium on Electromagnetic Compatibility – EMC Europe., 9901093, pp. 268-272, 2022 International Symposium on Electromagnetic Compatibility – EMC Europe, 5/09/22. https://doi.org/10.1109/EMCEurope51680.2022.9901093

TY - GEN

T1 - Wearable ESD Occurrence Rate Detection with Voltage Level Estimation

AU - Fellner, Gabriel

AU - Pommerenke, David Johannes

AU - Mousavi, Seyed Mostafa

AU - Pak, Amin

AU - Wintersteller, Matthias

AU - Koger, Christoph

AU - Shinde, Satyajeet

AU - Hillstrom, Michael

PY - 2022/9/8

Y1 - 2022/9/8

N2 - Detecting personal ESD by using electric field sensors attached to the clothing was evaluated across different realistic charge and discharge scenarios. The ESD event itself is detected by the associated fast collapse of the electric field at the human. Its magnitude is determined by the E-field change using calibration that relates the E-field on the body to the charge voltage of the body. Two sensors are used to enhance accuracy. One of these positions hereby is on the front-side of the leg and the other on the back-side. The paper explains the measurement principle and gives example results.

AB - Detecting personal ESD by using electric field sensors attached to the clothing was evaluated across different realistic charge and discharge scenarios. The ESD event itself is detected by the associated fast collapse of the electric field at the human. Its magnitude is determined by the E-field change using calibration that relates the E-field on the body to the charge voltage of the body. Two sensors are used to enhance accuracy. One of these positions hereby is on the front-side of the leg and the other on the back-side. The paper explains the measurement principle and gives example results.

KW - Legged locomotion

KW - Voltage measurement

KW - Electrostatic measurements

KW - Estimation

KW - Electrostatic discharges

KW - Electromagnetic compatibility

KW - Discharges (electric)

UR - https://ieeexplore.ieee.org/document/9901093/

U2 - 10.1109/EMCEurope51680.2022.9901093

DO - 10.1109/EMCEurope51680.2022.9901093

M3 - Conference Paper

SN - 978-1-6654-0789-2

SP - 268

EP - 272

BT - 2022 International Symposium on Electromagnetic Compatibility – EMC Europe

T2 - 2022 International Symposium on Electromagnetic Compatibility – EMC Europe

Y2 - 5 September 2022 through 8 September 2022

ER -

Wearable ESD Occurrence Rate Detection with Voltage Level Estimation

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Keywords

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