Evaluation and correction of systematic effects in a simultaneous 3-axis vibration calibration system

Prato, Andrea; Mazzoleni, Fabrizio; Schiavi, Alessandro

doi:10.21014/acta_imeko.v9i5.1007

Cited by 9 publications

(7 citation statements)

References 3 publications

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“…Systematic effects are caused by spurious components acting on the perpendicular plane with respect to the reference vertical axis z', which are mainly due to the vibrational modes of the inclined aluminum plates and to small horizontal motions of the shaker. Such effects are quantified in terms of amplitude and phase, by means of laser-Doppler velocimetry (Polytec OFV 505), for each inclined plane and for all frequencies, as described in detail in [10,11].…”

Section: Calibration Setup and Proceduresmentioning

confidence: 99%

Towards large-scale calibrations: a statistical analysis on 100 digital 3-axis MEMS accelerometers

Prato

Mazzoleni

Pennecchi

et al. 2021

2021 IEEE International Workshop on Metrology for Industry 4.0 &Amp; IoT (MetroInd4.0&IoT)

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Given the growing development and production of low-cost digital MEMS sensors, e.g. accelerometers, gyroscopes, microphones, humidity, pressure and temperature sensors, large-scale measurements are nowadays a possible reality in many different fields, from industry 4.0 to environmental monitoring and smart cities. However, in most of cases, digital MEMS sensors still lack the required metrological traceability needed to provide traceable measurements. As a matter of fact, at present, a preliminary sensitivity value of these sensors is provided by the manufacturers by performing a simple adjustment, without a proper traceable calibration. This is basically due to the impossibility, nowadays, to guarantee large-scale calibration procedures at costs comparable to those of the sensors. For this purpose, it is first of all necessary to know their current technical performances, in terms of sensitivity and associated uncertainties, and then to define possible large-scale calibration methods. In this work, 100 nominally equal 3-axis MEMS digital accelerometers are calibrated with a recentlydeveloped calibration setup at INRiM. Sensitivity values, together with their calibration expanded uncertainties, are compared to statistically analyze their dispersion and distribution within the considered sample. This is the first necessary step towards the development of large-scale calibration methods.

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Section: Calibration Setup and Proceduresmentioning

confidence: 99%

Towards large-scale calibrations: a statistical analysis on 100 digital 3-axis MEMS accelerometers

Prato

Mazzoleni

Pennecchi

et al. 2021

2021 IEEE International Workshop on Metrology for Industry 4.0 &Amp; IoT (MetroInd4.0&IoT)

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show abstract

“…As a first step, it is necessary to evaluate the linear response of the sensor compared with a reference standard acceleration. To determine the metrological sensitivity of the sensor with respect to linear acceleration, a calibration is carried out using a tilt plate as a support, as described in detail in previous works [ 52 , 53 ]. The calibration system and procedure, developed at INRiM, allow one to provide the sensor sensitivity according to ISO 16063-21 [ 54 ] and thus the traceability to SI.…”

Section: Methodsmentioning

confidence: 99%

“…The experimental set-up allows one to generate a projection of the vertical reference acceleration, a ref , along three axes simultaneously. The calibration method and the experimental set-up, shown in Figure 4 , are described in detail in [ 52 , 53 ].…”

Section: Methodsmentioning

confidence: 99%

Responsiveness and Precision of Digital IMUs under Linear and Curvilinear Motion Conditions for Local Navigation and Positioning in Advanced Smart Mobility

Chiominto,

Natale,

D’Emilia

et al. 2024

Micromachines

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Sensors based on MEMS technology, in particular Inertial Measurement Units (IMUs), when installed on vehicles, provide a real-time full estimation of vehicles’ state vector (e.g., position, velocity, yaw angle, angular rate, acceleration), which is required for the planning and control of cars’ trajectories, as well as managing the in-car local navigation and positioning tasks. Moreover, data provided by the IMUs, integrated with the data of multiple inputs from other sensing systems (such as Lidar, cameras, and GPS) within the vehicle, and with the surrounding information exchanged in real time (vehicle to vehicle, vehicle to infrastructure, or vehicle to other entities), can be exploited to actualize the full implementation of “smart mobility” on a large scale. On the other hand, “smart mobility” (which is expected to improve road safety, reduce traffic congestion and environmental burden, and enhance the sustainability of mobility as a whole), to be safe and functional on a large scale, should be supported by highly accurate and trustworthy technologies based on precise and reliable sensors and systems. It is known that the accuracy and precision of data supplied by appropriately in-lab-calibrated IMUs (with respect to the primary or secondary standard in order to provide traceability to the International System of Units) allow guaranteeing high quality, reliable information managed by processing systems, since they are reproducible, repeatable, and traceable. In this work, the effective responsiveness and the related precision of digital IMUs, under sinusoidal linear and curvilinear motion conditions at 5 Hz, 10 Hz, and 20 Hz, are investigated on the basis of metrological approaches in laboratory standard conditions only. As a first step, in-lab calibrations allow one to reduce the variables of uncontrolled boundary conditions (e.g., occurring in vehicles in on-site tests) in order to identify the IMUs’ sensitivity in a stable and reproducible environment. For this purpose, a new calibration system, based on an oscillating rotating table was developed to reproduce the dynamic conditions of use in the field, and the results are compared with calibration data obtained on linear calibration benches.

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“…In this application, a specific system suitable for the simultaneous amplitude calibration of multicomponent MEMS sensors was used. The calibration method and the experimental set-up, shown in Figure 10 , have been described in detail in [ 49 , 50 ].…”

Section: Methodsmentioning

confidence: 99%

Highly Reliable Multicomponent MEMS Sensor for Predictive Maintenance Management of Rolling Bearings

et al. 2023

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In the field of vibration monitoring and control, the use of low-cost multicomponent MEMS-based accelerometer sensors is nowadays increasingly widespread. Such sensors allow implementing lightweight monitoring systems with low management costs, low power consumption and a small size. However, for the monitoring systems to provide trustworthy and meaningful data, the high accuracy and reliability of sensors are essential requirements. Consequently, a metrological approach to the calibration of multi-component accelerometer sensors, including appropriate uncertainty evaluations, are necessary to guarantee traceability and reliability in the frequency domain of data provided, which nowadays is not fully available. In addition, recently developed metrological characterizations at the microscale level allow to provide detailed and accurate quantification of the enhanced technical performance and the responsiveness of these sensors. In this paper, a dynamic calibration procedure is applied to provide the sensitivity parameters of a low-cost, multicomponent MEMS sensor accelerometer prototype (MDUT), designed, developed and realized at the University of Siena, conceived for rolling bearings vibration monitoring in a broad frequency domain (from 10 Hz up to 25 kHz). The calibration and the metrological characterization of the MDUT are carried out by comparison to a reference standard transducer, at the Primary Vibration Laboratory of the National Institute of Metrological Research (INRiM).

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Evaluation and correction of systematic effects in a simultaneous 3-axis vibration calibration system

Cited by 9 publications

References 3 publications

Towards large-scale calibrations: a statistical analysis on 100 digital 3-axis MEMS accelerometers

Towards large-scale calibrations: a statistical analysis on 100 digital 3-axis MEMS accelerometers

Responsiveness and Precision of Digital IMUs under Linear and Curvilinear Motion Conditions for Local Navigation and Positioning in Advanced Smart Mobility

Highly Reliable Multicomponent MEMS Sensor for Predictive Maintenance Management of Rolling Bearings

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