Amplitude–phase calibration of tri-axial accelerometers in the low-frequency range by a LDV

D’Emilia, Giulio; Gaspari, Antonella; Natale, Emanuela

doi:10.5194/jsss-8-223-2019

Cited by 14 publications

(10 citation statements)

References 15 publications

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“…The IEPE signal conditioner and the IEPE sensor act as highpass filters (D'Emilia et al, 2019). The discrete transfer function of a first-order high-pass filter can be expressed as…”

Section: Filter Model Of the Transfer Behaviour Of The Measurement Chainmentioning

confidence: 99%

“…In order to correct measurement errors in the frequency range below 1 Hz, the transfer behaviour should be represented using a filter model. The simplest model of a measuring chain with an IEPE sensor consists of two cascaded first-order high passes (D'Emilia et al, 2019). To determine the filter coefficients, it is necessary to calibrate the sensor and the signal conditioners below 1 Hz.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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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 0.05 Hz. 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 1 Hz. 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 0.05 Hz.

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“…The IEPE signal conditioner and the IEPE sensor act as highpass filters (D'Emilia et al, 2019). The discrete transfer function of a first-order high-pass filter can be expressed as…”

Section: Filter Model Of the Transfer Behaviour Of The Measurement Chainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

View full text Add to dashboard Cite

show abstract

“…On the inclined planes, 8 prefixed rotational positions are allowable (with a rotation of 0°, 45°, 90°, 135°, 180°, 225°, 270°, and 315°) on which the IMU under investigation is located. In Figure 3, the geometrical principle of the method, and the actual inclined plane, on which the IMU is fixed during calibration on the vibrating table, is shown: Inclined planes and rotational positions (realized with numerical control machines with a tolerance of ± 0.1•), allow generating a projection of the gravity acceleration gabs along three axes simultaneously [1][2][3]. The reference acceleration due to gravity gabs is measured by the INRiM absolute rise-and-fall gravimeter, namely gabs = (980 534 196.8±8.7)×10 -8 m•s -2 .…”

Section: Calibration System and Proceduresmentioning

confidence: 99%

On the trustworthiness of a digital 3D MEMS gyroscope responsiveness to dynamic accelerations for ADAS applications

Schiavi

Iacomussi

Rossi

et al. 2021

2021 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)

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In recent years, the development of advanced driver assistance systems (ADAS) up to fully automated vehicles (AV), based on digitalization and boosted big data managing within dense multi-sensor networks, has become a strategic perspective for automotive and mechatronics engineering, oriented toward innovation of transports, infrastructure-vehicle and vehicle-tovehicle real-time interconnections, automation in transport systems for people and goods and in smart farming, including safety-driving, navigation and positioning systems, traffic flows management and pollution controls. One of the key points for the development of safe and trustworthy ADAS and AV systems is linked to the accuracy and the reliability of sensors employed in multi-sensor networks, thus on traceable metrological characterizations, based on standard procedures and/or experimental methods widely agreed. In this work, the trustworthiness, in terms of data output reliability, stability and accuracy, of a digital 3D gyroscope integrated into a commercial multisensory MEMS, subjected to external vibrations, is investigated. The sensor is mounted on inclined planes (6 tilted angles, between 0° and 90°) and at 8 different rotation angles (from 0° to 360°); the inclined planes are fixed on a vibrating table. The static condition, as a function of tilt and rotation, is preliminarily investigated in the local gravitational field. Dynamic conditions are investigated by generating a sinusoidal vertical acceleration, at a nearly-constant amplitude of 10 m s −2 from 5 Hz up to 3 kHz, along the vertical z-axis of the system for 10 s. Both static and dynamic reference accelerations are traceable to the absolute gravimetry, and the vibration primary standard, at INRIM.

show abstract

“…The IEPE signal conditioner and the IEPE sensor act as high-pass filters (D'Emilia et al, 2019). The discrete transfer function of a first order high-pass filter can be expressed as…”

Section: Filter Model Of the Transfer Behaviour Of The Measurement Chainmentioning

confidence: 99%

“…Tarpø et al, below 1 Hz, the transfer behaviour should be represented using a filter model. The simplest model of a measuring chain with an IEPE sensor consists of two cascaded first order high-passes (D'Emilia et al, 2019). To determine the filter coefficients, it is necessary to calibrate the sensor and the signal conditioners below 1 Hz.…”

Section: Introductionmentioning

confidence: 99%

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

Jonscher

Hofmeister

Grießmann

et al. 2021

Preprint

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Abstract. In this work, we present an experimental setup for very low-frequency calibration measurements of low-noise Integrated Electronics Piezo Electric (IEPE) accelerometers and a customised signal conditioner design for using IEPE sensor down to 0.05Hz. AC-response IEPE accelerometer 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 1 Hz. Vibrations on structures with low eigenfrequencies like wind turbines are thus often monitored using DC-coupled micro-electro-mechanical systems (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 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 0.05 Hz.

show abstract

Amplitude–phase calibration of tri-axial accelerometers in the low-frequency range by a LDV

Cited by 14 publications

References 15 publications

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

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

On the trustworthiness of a digital 3D MEMS gyroscope responsiveness to dynamic accelerations for ADAS applications

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

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