Wind turbine generator bearing temperature early warning method
A technology for bearing temperature and wind turbines, applied in wind power generation, wind turbines, monitoring of wind turbines, etc., can solve the problems of low reliability, high probability of false alarms, low precision, etc., and achieve the goal of improving economy and reliability Effect
Pending Publication Date: 2021-04-02
BEIJING HUANENG XINRUI CONTROL TECH
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Problems solved by technology
[0003] In the existing technology, the monitoring methods for wind turbine bearings mainly include: based on nonlinear state estimation method or machine learning method to establish a temperature prediction model of the main bearing in normal working state, using the sliding window method to calculate the statistical distribution characteristics of the residual, when the mean value Or when the confidence interval of the standard deviation exceeds the set threshold, it is considered that the bearing is working abnormally. Due to the need to artificially set the threshold, this type of method is too subjective, and the traditional prediction method generally has low accuracy, and the probability of false alarm is relatively high. low reliability
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[0043] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, various implementation modes of the present invention will be described in detail below in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that, in each implementation manner of the present invention, many technical details are provided for readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following implementation modes, the technical solution claimed in this application can also be realized. The division of the following embodiments is for the convenience of description, and should not constitute any limitation to the specific implementation of the present invention, and the various embodiments can be combined and referred to each other on the premise of no contradiction.
[0044] Such as figure ...
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The invention provides a wind turbine generator bearing temperature early warning method. The method comprises the steps: obtaining a wind turbine generator SCADA temperature data set; preprocessing the SCADA temperature data set of the wind turbine generator, and screening model input variables; dividing the data set, and establishing a GSLightGBM-based wind turbine generator bearing temperatureprediction model; predicting the wind turbine generator bearing operation data according to the prediction model, performing residual analysis on the wind turbine generator bearing operation data, calculating EWMA control chart parameters, obtaining an alarm threshold, and analyzing a working state. According to the method provided by the invention, the operation state of the wind turbine generator can be monitored, an early warning signal is generated before a fault occurs, the operation method can be adjusted and controlled in time or workers can be arranged in advance for maintenance, and the economy and reliability of the wind turbine generator are improved.
Description
technical field [0001] The invention relates to the field of wind power, in particular to a method for early warning of the bearing temperature of a wind turbine. Background technique [0002] With the rapid development of wind energy, the failure rate of wind turbines is also increasing, and the resulting maintenance cost of wind power has become a problem that needs to be solved urgently. In fact, the failure of wind turbines and their equipment is a gradual process. Before the equipment is completely damaged, there will be some abnormal signals. If these signals are identified and warned before the failure starts, the occurrence of major failures can be avoided and Minimizing unplanned downtime has great practical significance for improving the reliability of wind turbine operation and reducing operation and maintenance costs. Wind turbine bearings are one of the key equipment for energy transmission, and their failures and related equipment failures are relatively frequ...
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Login to View More IPC IPC(8): G06Q10/04G06Q10/00G06Q50/06G06N5/00F03D17/00F03D80/70
CPCG06Q10/04G06Q10/20G06Q50/06F03D17/00F03D80/70G06N5/01Y04S10/50Y02E10/72
Inventor余瑞锋曾凡春赵霞高越罗凯
OwnerBEIJING HUANENG XINRUI CONTROL TECH