Real-time rolling bearing power loss in wind turbine gearbox modeling and prediction based on calculations and artificial neural network

Fotso, Hervice Roméo Fogno; Kazé, Claude Vidal Aloyem; Kenmoé, G. Djuidjé

doi:10.1016/j.triboint.2021.107171

Cited by 21 publications

(9 citation statements)

References 24 publications

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“…in the above expression, v(i) represents the ith wind speed value and interval is the interval corresponding to the dataset used. If one of the absolute values of the two adjacent gradients is greater than the wind speed climbing threshold WRR val as Equation (7), define that the WSR occurs at ith point.…”

Section: Wind Speed Ramp (Wsr)mentioning

confidence: 99%

“…The spatio-temporal prediction model introduces the spatial correlation between various factors in the wind farm or cluster into the model so that the original time dimension model is expanded to the time-space dimension model, and the prediction accuracy is greatly improved [5,6]. Next is the statistical prediction model based on historical data [7][8][9]. This method is better at mining linear information and is interpretable, and the commonly used method is the autoregressive moving average model (ARMA) [10][11][12], autoregressive integrated moving average model (ARIMA) [13,14] and support vector machine regression (SVM) [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…When the wind speed sequence satisfies Equation (7), that means ramp events are happening. When the positive ramp accumulates to a certain extent, Equation ( 8) can be satisfied.…”

mentioning

confidence: 99%

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Wind Speed Prediction Model Based on Improved VMD and Sudden Change of Wind Speed

Wang

Liang

et al. 2022

Sustainability

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An accurate wind speed prediction system is of great importance prerequisite for realizing wind power grid integration and ensuring the safety of the power system. Quantifying wind speed fluctuations can better provide valuable information for power dispatching. Therefore, this paper proposes a deterministic wind speed prediction system and an interval prediction method based on the Lorentzian disturbance sequence. For deterministic forecasting, a variational modal decomposition algorithm is first used to reduce noise. The preprocessed data are then predicted by a long and short-term neural network, but there is a significant one-step lag in the results. In response to such limitation, a wind speed slope is introduced to revise the preliminary prediction results, and the final deterministic wind speed prediction model is obtained. For interval prediction, on the basis of deterministic prediction, the Lorenz disturbance theory is introduced to describe the dynamic atmospheric system. B-spline interpolation is used to fit the distribution of Lorenz disturbance theory series to obtain interval prediction results. The experimental results show that the model proposed in this paper can achieve higher forecasting accuracy than the benchmark model, and the interval prediction based on the Lorentzian disturbance sequence can achieve a higher ground truth coverage rate when the average diameter is small through B-spline interpolation fitting.

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Section: Wind Speed Ramp (Wsr)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wind Speed Prediction Model Based on Improved VMD and Sudden Change of Wind Speed

Wang

Liang

et al. 2022

Sustainability

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“…Wind speed measurements should be taken at two different heights at each measurement tower. Thus, the actual values of the roughness coefficient in the environment will be computable (Fotso et al, 2021).…”

Section: The Calculation For Wind Power Systemmentioning

confidence: 99%

An Approach on Developing a Dynamic Wind-Solar Map for Tracking Electricity Production Potential and Energy Harvest

Salmanoğlu¹,

Çetin²

2022

Gazi University Journal of Science Part A: Engineering and Innovation

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Increasing energy demand brings in technical, environmental and economic problems as the production processes evolve. In this parallel, many countries are trying to satisfy the increasing energy demand using renewable energy sources. The scope of this study is to develope a mathematical model and data monitoring-evaluation software for wind and solar renewable energy sources, which can dynamically evaluate meteorological data measurements and make more precise energy harvest estimation with the data obtained. It is aimed to create a web based “Dynamic Wind-Sun Map of Turkey”. Through the developed software; instant data can be analyzed and instantaneous electrical energy values produced from wind and solar energy sources can be calculated. Thus, it can help create a system that allows regional management in energy production and is compatible. Within the scope of the study, a mathematical model expressing the problem was created by using some mathematical optimization methods. The created model was converted into a web-based software. PHP software development platform and MySQL database language were used during the software creation. The software developed within the scope of the study has analogues in the world literature. However, no study has been found in this context in Turkey. Especially since it can use real-time data and includes wind-photovoltaic calculations together, this software distinguishes it from its peers.

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“…Fault monitoring of gears has become an increasingly important topic among related scholars. Taking the wind turbine gear unit as an example: the operating environment of the wind turbine is very harsh with changeable speed and difficult maintenance and the nacelle is usually located at a height of more than 60 m, which creates difficulties regarding the maintenance and fault monitoring of the wind turbine [1][2][3]. Therefore, for large gear units, reasonable design, fault monitoring, and maintenance of gearboxes are necessary.…”

Section: Introductionmentioning

confidence: 99%

Proximate Model of Gear Drive Units Based on Dimensional Analysis for Wear Process Evaluation

Wang¹,

Wang²,

Zhu³

et al. 2022

Machines

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Excessive wear of gears will not only cause noise and vibration in the transmission system, but also reduce transmission efficiency and accuracy in severe cases, causing irreversible losses to the transmission system. It is desirable to develop a micro-gear unit model for evaluating the wear process and predicting the failure time of large gear units (such as wind turbine gear units), reducing losses due to sudden failures. Based on the Buckingham pi-theorem of dimensional analysis and Hertz formula, the similarity ratio of each parameter of the gear wear process was proposed. The maximum equivalent stress is calculated by establishing the FEM model and comparing it with the theoretical contact stress calculated by the Hertz formula, and the results were relatively consistent. Two pairs of gear friction and wear experiments with similar parameters were carried out to compare the wear evolution performance of two similar gears. The friction performance process of the test gears was observed by particle counter and analytical ferrograph. The results show that the friction and wear processes of the two groups of gears with similar parameters have a certain correlation, which was consistent with the proposed similarity model. The similarity model combined with the observation results of abrasive particles has a certain application value for the evaluation of the wear state of the transmission system.

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Real-time rolling bearing power loss in wind turbine gearbox modeling and prediction based on calculations and artificial neural network

Cited by 21 publications

References 24 publications

Wind Speed Prediction Model Based on Improved VMD and Sudden Change of Wind Speed

Wind Speed Prediction Model Based on Improved VMD and Sudden Change of Wind Speed

An Approach on Developing a Dynamic Wind-Solar Map for Tracking Electricity Production Potential and Energy Harvest

Proximate Model of Gear Drive Units Based on Dimensional Analysis for Wear Process Evaluation

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