A method and system for evaluating and predicting the state of a wind turbine
A state evaluation and prediction method technology, applied in prediction, computer-aided design, instruments, etc., can solve the problems of wind turbine maintenance costs, wind farm economic losses, etc., and achieve the effect of reducing labor costs and accurate evaluation results
Active Publication Date: 2020-01-21
BEIJING YUENENG TECH
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Problems solved by technology
[0002] The annual loss of power generation due to wind turbine failures and maintenance costs caused by failures have brought huge economic losses to wind farms
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[0022] The invention provides a method and system for evaluating and predicting the state of a wind turbine. By using the parallel space theory as a theoretical support point, modeling from two aspects of health and failure, and using big data technology as a modeling technical means, Create a fan health model and fault model based on parallel space, and evaluate and predict the status of the fan by comparing the real-time monitoring data with the health model and the fault model, so as to improve the operating efficiency of the fan and reduce the loss caused by the maintenance of the fan.
[0023] The wind turbine state evaluation and prediction method of the present invention includes: obtaining the healthy period data from the historical data of the same type of wind turbine, statistically generating the health value range of index parameters in different time and space dimensions, and giving the deviation degree of each parameter from the health value range The correspondin...
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The invention discloses a wind turbine state evaluation and prediction method and system. The method comprises the steps of obtaining data of health periods from history data of the same model of wind turbines, carrying out statistics to generate health value ranges of index parameters of different space time dimensions, providing a weight corresponding to the deviation degree between each parameter and each health value range, and establishing a health model; taking the change condition of the same parameter in the history data of the same model of wind turbines as a space domain, extracting change trends and ranges of the index parameters in space time with wind turbine faults, and establishing a fault model; and comparing wind turbine parameters which are monitored in real time with the health model and the fault model, evaluating and predicting current wind turbine states and outputting alarm in due time. According to the method and the system, the wind turbine health states can be monitored and evaluated accurately, reliably and effectively in real time, the wind turbine faults are predicted, so a wind field worker can make a maintenance schedule in advance, and the loss resulting from the wind turbine faults can be reduced.
Description
technical field [0001] The invention relates to the technical field of wind power, in particular to a method and system for evaluating and predicting the state of a wind turbine. Background technique [0002] The annual loss of power generation due to wind turbine failure and the maintenance costs caused by the failure have brought huge economic losses to wind farms. In terms of reducing maintenance time and cost, the health assessment and failure prediction mechanism of wind turbines is very necessary. Therefore, a method and system capable of evaluating the health status of a wind turbine and predicting a failure of the wind turbine are necessary. Contents of the invention [0003] The purpose of the present invention is to provide an accurate, reliable and effective wind turbine state assessment and prediction method, which can monitor and evaluate the health status of wind turbines in real time, and predict the failure of wind turbines, so that the wind farm staff can...
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IPC IPC(8): G06F30/20G06Q10/04G06Q10/00G06Q50/06G06F113/06
CPCG06F30/17G06F30/20G06Q10/04G06Q10/20G06Q50/06
Inventor 张兴林宫婉绮赵子刚朱永峰付英茂
Owner BEIJING YUENENG TECH