Transfer learning strategies for anomaly detection in iot vibration data

Clemens Heistracher; Anahid Naghibzadeh-Jalali; Indu Strobl; Axel Suendermann; Sebastian Meixner; Stephanie Holly; Daniel Schall; Bernhard Haslhofer; Jana Kemnitz

doi:10.1109/IECON48115.2021.9589185

Transfer learning strategies for anomaly detection in iot vibration data

Clemens Heistracher (Speaker)
, Anahid Naghibzadeh-Jalali
, Indu Strobl
, Axel Suendermann
, Sebastian Meixner
, Stephanie Holly
, Daniel Schall
, Bernhard Haslhofer
, Jana Kemnitz

Data Science & Artifical Intelligence

Siemens AG Österreich

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Original language	English
Title of host publication	IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1109/IECON48115.2021.9589185
Publication status	Published - 2021
Event	47th Annual Conference of the IEEE Industrial Electronics Society - Duration: 13 Oct 2021 → 16 Oct 2021

Conference

Conference	47th Annual Conference of the IEEE Industrial Electronics Society
Period	13/10/21 → 16/10/21

Research Field

Former Research Field - Data Science

Access to Document

10.1109/IECON48115.2021.9589185Licence: Unspecified

Cite this

@inproceedings{640782ad8edc42d3b0dedcaefaeab60f,

title = "Transfer learning strategies for anomaly detection in iot vibration data",

author = "Clemens Heistracher and Anahid Naghibzadeh-Jalali and Indu Strobl and Axel Suendermann and Sebastian Meixner and Stephanie Holly and Daniel Schall and Bernhard Haslhofer and Jana Kemnitz",

year = "2021",

doi = "10.1109/IECON48115.2021.9589185",

language = "English",

pages = "1--6",

booktitle = "IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society",

note = "47th Annual Conference of the IEEE Industrial Electronics Society ; Conference date: 13-10-2021 Through 16-10-2021",

}

Heistracher, C, Naghibzadeh-Jalali, A, Strobl, I, Suendermann, A, Meixner, S, Holly, S, Schall, D, Haslhofer, B & Kemnitz, J 2021, Transfer learning strategies for anomaly detection in iot vibration data. in IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. pp. 1-6, 47th Annual Conference of the IEEE Industrial Electronics Society, 13/10/21. https://doi.org/10.1109/IECON48115.2021.9589185

Transfer learning strategies for anomaly detection in iot vibration data. / Heistracher, Clemens (Speaker); Naghibzadeh-Jalali, Anahid; Strobl, Indu et al.
IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. 2021. p. 1-6.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Transfer learning strategies for anomaly detection in iot vibration data

AU - Naghibzadeh-Jalali, Anahid

AU - Strobl, Indu

AU - Suendermann, Axel

AU - Meixner, Sebastian

AU - Holly, Stephanie

AU - Schall, Daniel

AU - Haslhofer, Bernhard

AU - Kemnitz, Jana

A2 - Heistracher, Clemens

PY - 2021

Y1 - 2021

U2 - 10.1109/IECON48115.2021.9589185

DO - 10.1109/IECON48115.2021.9589185

M3 - Conference Proceedings with Oral Presentation

SP - 1

EP - 6

BT - IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society

T2 - 47th Annual Conference of the IEEE Industrial Electronics Society

Y2 - 13 October 2021 through 16 October 2021

ER -