Determination of bearing clearance by the application of neural networks
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings: 2018 Confernce Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 2018. p. 1620-1623 8589587 (Proceedings of IEEE Sensors; Vol. 2018-October).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Determination of bearing clearance by the application of neural networks
AU - Meier, Nicolas
AU - Biyani, Yashvardhan
AU - Georgiadis, Anthimos
N1 - Conference code: 17
PY - 2018/12/26
Y1 - 2018/12/26
N2 - The aim of the work is to investigate the relationship between bearing radial clearance and vibration frequencies during service. The bearing clearance can be determined based on the energy spectrum of the rotation vibration by the application of neural networks. Experimental investigations are performed using two double-row self-aligning ball bearings and vibration sensors in order to examine this assumption. The bearing vibrations are recorded at different clearances and rotation frequencies and analyzed. The developed system can be used for monitoring or prediction of clearance during service.
AB - The aim of the work is to investigate the relationship between bearing radial clearance and vibration frequencies during service. The bearing clearance can be determined based on the energy spectrum of the rotation vibration by the application of neural networks. Experimental investigations are performed using two double-row self-aligning ball bearings and vibration sensors in order to examine this assumption. The bearing vibrations are recorded at different clearances and rotation frequencies and analyzed. The developed system can be used for monitoring or prediction of clearance during service.
KW - Engineering
KW - Sensoren
KW - Lagerluft
KW - Signalverarbeitung
KW - Neuronale Netze
KW - Wälzlager
UR - http://www.scopus.com/inward/record.url?scp=85060847887&partnerID=8YFLogxK
U2 - 10.1109/ICSENS.2018.8589587
DO - 10.1109/ICSENS.2018.8589587
M3 - Article in conference proceedings
SN - 978-1-5386-4708-0
T3 - Proceedings of IEEE Sensors
SP - 1620
EP - 1623
BT - 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
CY - Piscataway
T2 - 17th IEEE SENSORS Conference - SENSORS 2018
Y2 - 28 October 2018 through 31 October 2018
ER -