Very low frequency IEPE accelerometer calibration and application to a wind energy structure

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OriginalspracheEnglisch
Seiten (von - bis)1053-1067
Seitenumfang15
FachzeitschriftWind Energy Science
Jahrgang7
Ausgabenummer3
PublikationsstatusVeröffentlicht - 24 Mai 2022

Abstract

In this work, we present an experimental setup for very low frequency calibration measurements of low-noise integrated electronics piezoelectric (IEPE) accelerometers and a customised signal conditioner design for using IEPE sensors down to 0.05Hz. AC-response IEPE accelerometers and signal conditioners have amplitude and phase deviations at low frequencies. As the standard calibration procedure in the low-frequency range is technically challenging, IEPE accelerometers with standard signal conditioners are usually used in frequency ranges above 1Hz. Vibrations on structures with low eigenfrequencies like wind turbines are thus often monitored using DC-coupled micro-electro-mechanical system (MEMS) capacitive accelerometers. This sensor type suffers from higher noise levels compared to IEPE sensors. To apply IEPE sensors instead of MEMS sensors, in this work the calibration of the entire measurement chain of three different IEPE sensors with the customised signal conditioner is performed with a low-frequency centrifuge. The IEPE sensors are modelled using infinite impulse response (IIR) filters to apply the calibration to time-domain measurement data of a wind turbine support structure. This procedure enables an amplitude and phase-accurate vibration analysis with IEPE sensors in the low-frequency range down to 0.05Hz.

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Very low frequency IEPE accelerometer calibration and application to a wind energy structure. / Jonscher, Clemens; Hofmeister, Benedikt; Grießmann, Tanja et al.
in: Wind Energy Science, Jahrgang 7, Nr. 3, 24.05.2022, S. 1053-1067.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Jonscher C, Hofmeister B, Grießmann T, Rolfes R. Very low frequency IEPE accelerometer calibration and application to a wind energy structure. Wind Energy Science. 2022 Mai 24;7(3):1053-1067. doi: 10.5194/wes-7-1053-2022
Jonscher, Clemens ; Hofmeister, Benedikt ; Grießmann, Tanja et al. / Very low frequency IEPE accelerometer calibration and application to a wind energy structure. in: Wind Energy Science. 2022 ; Jahrgang 7, Nr. 3. S. 1053-1067.
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title = "Very low frequency IEPE accelerometer calibration and application to a wind energy structure",
abstract = "In this work, we present an experimental setup for very low frequency calibration measurements of low-noise integrated electronics piezoelectric (IEPE) accelerometers and a customised signal conditioner design for using IEPE sensors down to 0.05Hz. AC-response IEPE accelerometers and signal conditioners have amplitude and phase deviations at low frequencies. As the standard calibration procedure in the low-frequency range is technically challenging, IEPE accelerometers with standard signal conditioners are usually used in frequency ranges above 1Hz. Vibrations on structures with low eigenfrequencies like wind turbines are thus often monitored using DC-coupled micro-electro-mechanical system (MEMS) capacitive accelerometers. This sensor type suffers from higher noise levels compared to IEPE sensors. To apply IEPE sensors instead of MEMS sensors, in this work the calibration of the entire measurement chain of three different IEPE sensors with the customised signal conditioner is performed with a low-frequency centrifuge. The IEPE sensors are modelled using infinite impulse response (IIR) filters to apply the calibration to time-domain measurement data of a wind turbine support structure. This procedure enables an amplitude and phase-accurate vibration analysis with IEPE sensors in the low-frequency range down to 0.05Hz.",
author = "Clemens Jonscher and Benedikt Hofmeister and Tanja Grie{\ss}mann and Raimund Rolfes",
note = "Funding Information: The publication of this article was funded by the open-access fund of Leibniz Universit{\"a}t Hannover. Funding Information: Acknowledgements. We greatly acknowledge the financial support of the Federal Ministry for Economic Affairs and Energy of Germany (research projects “Deutsche Forschungsplat-tform f{\"u}r Windenergie”, and “PreciWind-Pr{\"a}zises Messsystem zur ber{\"u}hrungslosen Erfassung und Analyse des dynamischen Str{\"o}-mungsverhaltens von WEA-Rotorbl{\"a}ttern”) that enabled this work. In addition, we are grateful to the Deutsche WindGuard GmbH as well as the Bremer Institut f{\"u}r Messtechnik, Automatisierung und Qualit{\"a}tswissenschaft (BIMAQ) for their support during the measurement campaign. Funding Information: Financial support. This research has been supported by the Bun-desministerium f{\"u}r Wirtschaft und Energie (grant nos. 0325936E and 03EE3013B).",
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N1 - Funding Information: The publication of this article was funded by the open-access fund of Leibniz Universität Hannover. Funding Information: Acknowledgements. We greatly acknowledge the financial support of the Federal Ministry for Economic Affairs and Energy of Germany (research projects “Deutsche Forschungsplat-tform für Windenergie”, and “PreciWind-Präzises Messsystem zur berührungslosen Erfassung und Analyse des dynamischen Strö-mungsverhaltens von WEA-Rotorblättern”) that enabled this work. In addition, we are grateful to the Deutsche WindGuard GmbH as well as the Bremer Institut für Messtechnik, Automatisierung und Qualitätswissenschaft (BIMAQ) for their support during the measurement campaign. Funding Information: Financial support. This research has been supported by the Bun-desministerium für Wirtschaft und Energie (grant nos. 0325936E and 03EE3013B).

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