Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches

Nicolas Meier; Anthimos Georgiadis; Bartłomiej Ambrożkiewicz; Grzegorz Litak

doi:10.1109/SENSORS43011.2019.8956597

Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches

Nicolas Meier
, Anthimos Georgiadis
, Bartłomiej Ambrożkiewicz
, Grzegorz Litak

Technische Universität Lublin

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

6 Zitate (Scopus)

Abstract

Determination and in situ detection of bearing radial clearance are studied using vibration spectra detected by acceleration sensors applied to double-row self-aligning ball bearings. We applied three different methods for the determination of bearing clearance and present the results: a) using neural networks, b) calculating the spectral kurtosis of the corresponding spectra and c) performing recurrence plots and recurrence quantification analysis for various bearing clearances. The statistical results and corresponding quantificators show reliable in service detection and monitoring of the clearance.

Originalsprache	Englisch
Titel	2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings
Seitenumfang	4
Herausgeber (Verlag)	IEEE - Institute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum	11.2019
Aufsatznummer	8956597
ISBN (Print)	978-1-7281-1635-8
ISBN (elektronisch)	978-1-7281-1634-1
DOIs	https://doi.org/10.1109/SENSORS43011.2019.8956597
Publikationsstatus	Erschienen - 11.2019
Veranstaltung	IEEE Sensors - IEEE 2019 - Palais des Congres de Montreal, Montreal, Kanada Dauer: 27.10.2019 → 30.10.2019 https://ieee-sensors2019.org/

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Ingenieurwissenschaften

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10.1109/SENSORS43011.2019.8956597

Verification of Measuring the Bearing Clearance Using Kurtosis, Recurrences and Neural Networks and Comparison of These Approaches
Meier, N. (Präsentator*in)
28.11.2019
Aktivität: Vorträge und Gastvorlesungen › Präsentationen (Poster ua.) › Forschung

Dieses zitieren

Meier, N., Georgiadis, A., Ambrożkiewicz, B., & Litak, G. (2019). Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches. in 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings Artikel 8956597 (Proceedings of IEEE Sensors; Band 2019-October). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SENSORS43011.2019.8956597

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title = "Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches",

abstract = "Determination and in situ detection of bearing radial clearance are studied using vibration spectra detected by acceleration sensors applied to double-row self-aligning ball bearings. We applied three different methods for the determination of bearing clearance and present the results: a) using neural networks, b) calculating the spectral kurtosis of the corresponding spectra and c) performing recurrence plots and recurrence quantification analysis for various bearing clearances. The statistical results and corresponding quantificators show reliable in service detection and monitoring of the clearance.",

keywords = "Engineering, Condition Monitoring and Prediction, Bearing Rolling Element, Ball Bearing, Vibration, Bearing Clearance, Recurrence Plots, Recurrence Quantification Analysis, Neural Network",

author = "Nicolas Meier and Anthimos Georgiadis and Bart{\l}omiej Ambro{\.z}kiewicz and Grzegorz Litak",

year = "2019",

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doi = "10.1109/SENSORS43011.2019.8956597",

language = "English",

isbn = "978-1-7281-1635-8",

series = "Proceedings of IEEE Sensors",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings",

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note = "IEEE Sensors - IEEE 2019, IEEE ; Conference date: 27-10-2019 Through 30-10-2019",

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Meier, N , Georgiadis, A, Ambrożkiewicz, B & Litak, G 2019, Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches. in 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings., 8956597, Proceedings of IEEE Sensors, Bd. 2019-October, IEEE - Institute of Electrical and Electronics Engineers Inc., IEEE Sensors - IEEE 2019, Montreal, Kanada, 27.10.19. https://doi.org/10.1109/SENSORS43011.2019.8956597

Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches. / Meier, Nicolas ; Georgiadis, Anthimos; Ambrożkiewicz, Bartłomiej et al.
2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings. IEEE - Institute of Electrical and Electronics Engineers Inc., 2019. 8956597 (Proceedings of IEEE Sensors; Band 2019-October).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

TY - CHAP

T1 - Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches

AU - Meier, Nicolas

AU - Georgiadis, Anthimos

AU - Ambrożkiewicz, Bartłomiej

AU - Litak, Grzegorz

PY - 2019/11

Y1 - 2019/11

N2 - Determination and in situ detection of bearing radial clearance are studied using vibration spectra detected by acceleration sensors applied to double-row self-aligning ball bearings. We applied three different methods for the determination of bearing clearance and present the results: a) using neural networks, b) calculating the spectral kurtosis of the corresponding spectra and c) performing recurrence plots and recurrence quantification analysis for various bearing clearances. The statistical results and corresponding quantificators show reliable in service detection and monitoring of the clearance.

AB - Determination and in situ detection of bearing radial clearance are studied using vibration spectra detected by acceleration sensors applied to double-row self-aligning ball bearings. We applied three different methods for the determination of bearing clearance and present the results: a) using neural networks, b) calculating the spectral kurtosis of the corresponding spectra and c) performing recurrence plots and recurrence quantification analysis for various bearing clearances. The statistical results and corresponding quantificators show reliable in service detection and monitoring of the clearance.

KW - Engineering

KW - Condition Monitoring and Prediction

KW - Bearing Rolling Element

KW - Ball Bearing

KW - Vibration

KW - Bearing Clearance

KW - Recurrence Plots

KW - Recurrence Quantification Analysis

KW - Neural Network

UR - https://www.scopus.com/pages/publications/85078705738

U2 - 10.1109/SENSORS43011.2019.8956597

DO - 10.1109/SENSORS43011.2019.8956597

M3 - Article in conference proceedings

SN - 978-1-7281-1635-8

T3 - Proceedings of IEEE Sensors

BT - 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE Sensors - IEEE 2019

Y2 - 27 October 2019 through 30 October 2019

ER -

Meier N , Georgiadis A, Ambrożkiewicz B, Litak G. Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches. in 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings. IEEE - Institute of Electrical and Electronics Engineers Inc. 2019. 8956597. (Proceedings of IEEE Sensors). doi: 10.1109/SENSORS43011.2019.8956597

Verification of measuring the bearing clearance using kurtosis, recurrences and neural networks and comparison of these approaches

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Verification of Measuring the Bearing Clearance Using Kurtosis, Recurrences and Neural Networks and Comparison of These Approaches

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