TY - GEN
T1 - A strain model for spall severity estimation based on FBG measurements
AU - Ohana, R.
AU - Klein, R.
AU - Bortman, J.
AU - Tur, M.
N1 - Publisher Copyright:
© 2022 Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics. All rights reserved.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - In this research, a Fiber Bragg Grating (FBG) sensor has been used for condition monitoring on spalls in deep groove ball bearings. The usage of FBG sensors is relatively new for health monitoring systems of rotating machinery. Therefore, there is not enough understanding of the strain signature measured by the FBG. To examine the phenomena in the strain signals, a physics-based model of the strain signature has been developed. In this model, two complementary models were integrated, a finite element (FE) model and a dynamic model. The strain model describes the interaction between the rolling elements (REs) and the bearing housing and simulates the strain behavior on the bearing housing. The simulation results are validated with strain signals from endurance test measured by the FBG sensor. The model allows simulation of a wide range of spall lengths. The insights from the model enabled the development of an algorithm that assesses the severity of the defect during bearing operation.
AB - In this research, a Fiber Bragg Grating (FBG) sensor has been used for condition monitoring on spalls in deep groove ball bearings. The usage of FBG sensors is relatively new for health monitoring systems of rotating machinery. Therefore, there is not enough understanding of the strain signature measured by the FBG. To examine the phenomena in the strain signals, a physics-based model of the strain signature has been developed. In this model, two complementary models were integrated, a finite element (FE) model and a dynamic model. The strain model describes the interaction between the rolling elements (REs) and the bearing housing and simulates the strain behavior on the bearing housing. The simulation results are validated with strain signals from endurance test measured by the FBG sensor. The model allows simulation of a wide range of spall lengths. The insights from the model enabled the development of an algorithm that assesses the severity of the defect during bearing operation.
UR - http://www.scopus.com/inward/record.url?scp=85195948326&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85195948326
T3 - Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics
SP - 652
EP - 660
BT - Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics
A2 - Desmet, W.
A2 - Pluymers, B.
A2 - Moens, D.
A2 - Neeckx, S.
PB - KU Leuven, Departement Werktuigkunde
T2 - 30th International Conference on Noise and Vibration Engineering, ISMA 2022 and 9th International Conference on Uncertainty in Structural Dynamics, USD 2022
Y2 - 12 September 2022 through 14 September 2022
ER -