Articles | Volume 7, issue 3
https://doi.org/10.5194/wes-7-1053-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-1053-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Very low frequency IEPE accelerometer calibration and application to a wind energy structure
Clemens Jonscher
CORRESPONDING AUTHOR
Institute of Structural Analysis, Leibniz University Hannover/ForWind, Appelstraße 9A, 30167 Hanover, Germany
Benedikt Hofmeister
Institute of Structural Analysis, Leibniz University Hannover/ForWind, Appelstraße 9A, 30167 Hanover, Germany
Tanja Grießmann
Institute of Structural Analysis, Leibniz University Hannover/ForWind, Appelstraße 9A, 30167 Hanover, Germany
Raimund Rolfes
Institute of Structural Analysis, Leibniz University Hannover/ForWind, Appelstraße 9A, 30167 Hanover, Germany
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Cited
16 citations as recorded by crossref.
- 3D-printed multiresonant sensor for ultra-low frequency vibration monitoring J. Gómez-Hurtado et al. https://doi.org/10.1007/s42114-026-01831-6
- Precise Evaluation of Frequency Response Consistency Between Accelerometers by Exciting With Dual-Frequency Vibration Y. Zhou et al. https://doi.org/10.1109/TIM.2025.3650235
- High-Temperature IEPE Charge Amplifier With Enhanced Low-Frequency Performance for MEMS Piezoelectric Accelerometer J. Zhang et al. https://doi.org/10.1109/JSEN.2025.3596050
- Experimental Investigation on the Transfer Behavior and Environmental Influences of Low-Noise Integrated Electronic Piezoelectric Acceleration Sensors J. Bartels et al. https://doi.org/10.3390/metrology4010004
- Vibration Assessment Due to Stator and Rotor Interturn Faults in a Doubly Fed Induction Generator for Wind Turbine Application A. Gupta & T. Chelliah https://doi.org/10.3390/en19122917
- Identification Uncertainties of Bending Modes of an Onshore Wind Turbine for Vibration‐Based Monitoring C. Jonscher et al. https://doi.org/10.1155/2024/3280697
- Predictive digital twin for wind energy systems: a literature review E. Kandemir et al. https://doi.org/10.1186/s42162-024-00373-9
- Research Status and Development Trend of Piezoelectric Accelerometer T. Wu et al. https://doi.org/10.3390/cryst13091363
- Dynamic Multi-Axis Calibration of MEMS Accelerometers for Sensitivity and Linearity Assessment L. Chiominto et al. https://doi.org/10.3390/s25072120
- Influence of system changes on closely spaced modes of a large-scale concrete tower for the application to structural health monitoring C. Jonscher et al. https://doi.org/10.1007/s13349-023-00693-6
- Advanced sensing technologies for active magnetic bearing systems: Trends and prospects T. Nehal et al. https://doi.org/10.1016/j.measurement.2025.118515
- Automated Transmissibility‐Based Damage Detection for Output‐Only Systems D. Bonilla et al. https://doi.org/10.1155/stc/9921293
- Low-frequency calibration of accelerometers by rotation in the gravitational field at NIST J. Strait et al. https://doi.org/10.1088/1681-7575/ae5193
- Dynamic displacement measurement of a wind turbine tower using accelerometers: tilt error compensation and validation C. Jonscher et al. https://doi.org/10.5194/wes-10-193-2025
- An IIoT-Device for Acquisition and Analysis of High-Frequency Data Processed by Artificial Intelligence J. Kneifel et al. https://doi.org/10.3390/iot4030013
- Vibration frequency measurement based on machine learning and stereo vision J. Liu et al. https://doi.org/10.1364/AO.567977
16 citations as recorded by crossref.
- 3D-printed multiresonant sensor for ultra-low frequency vibration monitoring J. Gómez-Hurtado et al. https://doi.org/10.1007/s42114-026-01831-6
- Precise Evaluation of Frequency Response Consistency Between Accelerometers by Exciting With Dual-Frequency Vibration Y. Zhou et al. https://doi.org/10.1109/TIM.2025.3650235
- High-Temperature IEPE Charge Amplifier With Enhanced Low-Frequency Performance for MEMS Piezoelectric Accelerometer J. Zhang et al. https://doi.org/10.1109/JSEN.2025.3596050
- Experimental Investigation on the Transfer Behavior and Environmental Influences of Low-Noise Integrated Electronic Piezoelectric Acceleration Sensors J. Bartels et al. https://doi.org/10.3390/metrology4010004
- Vibration Assessment Due to Stator and Rotor Interturn Faults in a Doubly Fed Induction Generator for Wind Turbine Application A. Gupta & T. Chelliah https://doi.org/10.3390/en19122917
- Identification Uncertainties of Bending Modes of an Onshore Wind Turbine for Vibration‐Based Monitoring C. Jonscher et al. https://doi.org/10.1155/2024/3280697
- Predictive digital twin for wind energy systems: a literature review E. Kandemir et al. https://doi.org/10.1186/s42162-024-00373-9
- Research Status and Development Trend of Piezoelectric Accelerometer T. Wu et al. https://doi.org/10.3390/cryst13091363
- Dynamic Multi-Axis Calibration of MEMS Accelerometers for Sensitivity and Linearity Assessment L. Chiominto et al. https://doi.org/10.3390/s25072120
- Influence of system changes on closely spaced modes of a large-scale concrete tower for the application to structural health monitoring C. Jonscher et al. https://doi.org/10.1007/s13349-023-00693-6
- Advanced sensing technologies for active magnetic bearing systems: Trends and prospects T. Nehal et al. https://doi.org/10.1016/j.measurement.2025.118515
- Automated Transmissibility‐Based Damage Detection for Output‐Only Systems D. Bonilla et al. https://doi.org/10.1155/stc/9921293
- Low-frequency calibration of accelerometers by rotation in the gravitational field at NIST J. Strait et al. https://doi.org/10.1088/1681-7575/ae5193
- Dynamic displacement measurement of a wind turbine tower using accelerometers: tilt error compensation and validation C. Jonscher et al. https://doi.org/10.5194/wes-10-193-2025
- An IIoT-Device for Acquisition and Analysis of High-Frequency Data Processed by Artificial Intelligence J. Kneifel et al. https://doi.org/10.3390/iot4030013
- Vibration frequency measurement based on machine learning and stereo vision J. Liu et al. https://doi.org/10.1364/AO.567977
Saved (final revised paper)
Latest update: 21 Jul 2026
Short summary
This work presents a method to use low-noise IEPE sensors in the low-frequency range down to 0.05 Hz. In order to achieve phase and amplitude accuracy with this type of sensor in the low-frequency range, a new calibration procedure for this frequency range was developed. The calibration enables the use of the low-noise IEPE sensors for large structures, such as wind turbines. The calibrated sensors can be used for wind turbine monitoring, such as fatigue monitoring.
This work presents a method to use low-noise IEPE sensors in the low-frequency range down to...
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