Validation of a non-contact technique for torque measurements in wind turbines using an enhanced transient FSV approach

Zhang, Gang; Zappalá, Donatella; Crabtree, Christopher J.; Donaghy‐Spargo, Christopher; Hogg, Simon; Duffy, Alistair

doi:10.1016/j.measurement.2019.107261

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…The inspiration for achieving such a result was the study by [43], where, based on large datasets, the authors successfully analyzed them without reducing the volume unnecessarily. Thus, they achieved satisfactory results, similar to those obtained in [44], for the case of turbine shaft torque. Therefore, knowing the complexity of the task, we hope that, in the sciences of engineering construction, it is recognized similar to the use of measuring techniques in the case of detection of corrosion and defects [45][46][47][48].…”

Section: Introductionsupporting

confidence: 77%

Nondestructive Testing of the Miter Gates Using Various Measurement Methods

Binczyk

Kalitowski

Szulwic

et al. 2020

Sensors

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When any problems related to civil engineering structures appear, identifying the issue through the usage of only one measuring method is difficult. Therefore, comprehensive tests are required to identify the main source. The strains and displacement measurements, as well as modal identification, are widely used in the nondestructive testing of structures. However, measurements are usually carried out at several points and confirm or exclude only one of many potential causes of the problem. The main aim of this paper is to identify the causes of miter gates’ excessive vibration. The research includes displacement measurements using a tachometer and a laser scanner, acceleration measurements connected with modal analysis, and calculations with the finite element method (FEM) model. The numerical model underwent verification regarding test results. Particular attention was paid to evaluate the practical use of a laser scanner for diagnosing miter gates. Unlike classical methods, it measures many points. The analysis eliminated a number of potential causes of excessive vibration and highlighted the field of excessive deformation. The identified anomaly could be associated with bearings’ misalignment after closing the door. This construction part should be subjected to further research using classical methods. The laser scanning has been proven to be a method that can only generally present the deformation of the structure.

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Section: Introductionsupporting

confidence: 77%

Nondestructive Testing of the Miter Gates Using Various Measurement Methods

Binczyk

Kalitowski

Szulwic

et al. 2020

Sensors

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“…Though today’s CMSs can be used to gain insight into the drivetrain’s condition, they cannot measure GB input loads. According to [ 11 ], several studies have been conducted to measure the torque on the LSS [ 12 , 13 , 14 , 15 , 16 , 17 ]. In [ 18 ], torque measurements were categorized into strain gauges, magnetostrictive, surface acoustic wave, piezoelectric, and optical and inductive twist measurements.…”

Section: Introductionmentioning

confidence: 99%

From Strain to Loads: Development of a Measurement Solution for Wind Turbine Transmission Input Loads during Drivetrain Testing

Bilen

Azzam

Schelenz

et al. 2023

Sensors

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As wind energy is paving the way for the energy transition from fossil to renewable energy sources, the ongoing trend of increasing the rated power of wind turbines aims to reduce the overall cost of wind energy. The resulting increase in drivetrain loads motivates the need for wind turbine (WT) drivetrain testing in the development phase of critical components such as the WT main gearbox (GB). While several WT system test benches allow for the application of emulated rotor loads in six degrees of freedom (6-DOF), the drivetrain input loads can significantly differ from the GB 6-DOF input loads due to the design of the drivetrain under test. However, currently available load measurement solutions are not capable of sensing GB input loads in 6-DOF. Thus, this work aims to develop a methodology for converging signals from a purposely designed sensor setup and turbine specific design parameters to compute the GB 6-DOF input loads during WT testing. Strain gauges (SG) and accelerometers have been installed on the low-speed shaft (LSS) of a WT drivetrain under test at the 4MW WT system test bench at the Center for Wind Power Drives. Using the data of the aforementioned sensors, a methodology for computing the GB input loads is developed. The methodology is validated through comparison to the applied loads data provided by the aforementioned test bench. The results demonstrate the high promise of the proposed method for estimating the GB input loads during WT drivetrain testing.

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