2020
DOI: 10.5194/jsss-9-239-2020
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Design study for a multicomponent transducer for wind turbine test benches

Abstract: Abstract. This paper covers the design study of a multicomponent transducer (MCT) for wind turbine test benches. The MCT will cover the characteristics of wind turbines in the power range of up to 6 MW. The motivation to develop a MCT such as this is to provide satisfying measurement accuracy of loads and moments for all 6 degrees of freedom in order to reduce the uncertainty in the traceability of the drive train behavior due to the applied loads. Therefore, the estimation of the measurement uncertainty is si… Show more

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Cited by 2 publications
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“…Finally, precise and durable force sensors, which are also based on strain measurement, are not available on the market in the dimension required for this application and their concepts are designed for the measurement of single load components. Even though there are concepts for multicomponent transducers for measuring the rotor loads of multimegawatt wind turbines (Gnauert et al, 2020) Alternatively, local displacement signals near the main bearings could be used to estimate main bearing loads. Compared to strain gauges, displacement sensors are robust, durable and easy to install, which makes them particularly interesting for this application.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, precise and durable force sensors, which are also based on strain measurement, are not available on the market in the dimension required for this application and their concepts are designed for the measurement of single load components. Even though there are concepts for multicomponent transducers for measuring the rotor loads of multimegawatt wind turbines (Gnauert et al, 2020) Alternatively, local displacement signals near the main bearings could be used to estimate main bearing loads. Compared to strain gauges, displacement sensors are robust, durable and easy to install, which makes them particularly interesting for this application.…”
Section: Introductionmentioning
confidence: 99%